Managing costs, managing benefits: employer decisions in local health care markets.

Science.gov (United States)

Christianson, Jon B; Trude, Sally

2003-02-01

To better understand employer health benefit decision making, how employer health benefits strategies evolve over time, and the impact of employer decisions on local health care systems. Data were collected as part of the Community Tracking Study (CTS), a longitudinal analysis of health system change in 12 randomly selected communities. This is an observational study with data collection over a six-year period. The study used semistructured interviews with local respondents, combined with monitoring of local media, to track changes in health care systems over time and their impact on community residents. Interviewing began in 1996 and was carried out at two-year intervals, with a total of approximately 2,200 interviews. The interviews provided a variety of perspectives on employer decision making concerning health benefits; these perspectives were triangulated to reach conclusions. The tight labor market during the study period was the dominant consideration in employer decision making regarding health benefits. Employers, in managing employee compensation, made independent decisions in pursuit of individual goals, but these decisions were shaped by similar labor market conditions. As a result, within and across our study sites, employer decisions in aggregate had an important impact on local health care systems, although employers' more highly visible public efforts to bring about health system change often met with disappointing results. General economic conditions in the 1990s had an important impact on the configuration of local health systems through their effect on employer decision making regarding health benefits offered to employees, and the responses of health plans and providers to those decisions.

32 CFR 701.118 - Privacy, IT, and PIAs.

Science.gov (United States)

2010-07-01

...) Development. Privacy must be considered when requirements are being analyzed and decisions are being made...-347) directs agencies to conduct reviews of how privacy issues are considered when purchasing or... a PIA to effectively address privacy factors. Guidance is provided at http://www.doncio.navy.mil. (f...

Household consumption, female employment and fertility decisions; A microeconometric analysis

NARCIS (Netherlands)

Kalwij, A.S.

1999-01-01

This thesis is mainly concerned with a simultaneous analysis of the economic determinants of female employment and fertility decisions on a household level in the Netherlands. In particular, this thesis is interested in the role of the employment decisions of women in the observed behavior that

A Web-Centric Preference Acquisition and Decision Support System Employing Decision Times to express Relative Preferences

National Research Council Canada - National Science Library

Feinstein, Jerald

2003-01-01

... of confidence with respect to decision alternatives. This is an alternative, neural net-motivated method employing decision times or reaction time metrics and a set of decision analytic techniques for capturing, synthesizing, and analyzing decisions...

Unpicking the privacy paradox: can structuration theory help to explain location-based privacy decisions?

OpenAIRE

Zafeiropoulou, Aristea M.; Millard, David E.; Webber, Craig; O'Hara, Kieron

2013-01-01

Social Media and Web 2.0 tools have dramatically increased the amount of previously private data that users share on the Web; now with the advent of GPS-enabled smartphones users are also actively sharing their location data through a variety of applications and services. Existing research has explored people’s privacy attitudes, and shown that the way people trade their personal data for services of value can be inconsistent with their stated privacy preferences (a phenomenon known as the pr...

Valuating Privacy with Option Pricing Theory

Science.gov (United States)

Berthold, Stefan; Böhme, Rainer

One of the key challenges in the information society is responsible handling of personal data. An often-cited reason why people fail to make rational decisions regarding their own informational privacy is the high uncertainty about future consequences of information disclosures today. This chapter builds an analogy to financial options and draws on principles of option pricing to account for this uncertainty in the valuation of privacy. For this purpose, the development of a data subject's personal attributes over time and the development of the attribute distribution in the population are modeled as two stochastic processes, which fit into the Binomial Option Pricing Model (BOPM). Possible applications of such valuation methods to guide decision support in future privacy-enhancing technologies (PETs) are sketched.

Big Data and Consumer Participation in Privacy Contracts: Deciding who Decides on Privacy

Directory of Open Access Journals (Sweden)

Michiel Rhoen

2015-02-01

Full Text Available Big data puts data protection to the test. Consumers granting permission to process their personal data are increasingly opening up their personal lives, thanks to the “datafication” of everyday life, indefinite data retention and the increasing sophistication of algorithms for analysis.The privacy implications of big data call for serious consideration of consumers’ opportunities to participate in decision-making processes about their contracts. If these opportunities are insufficient, the resulting rules may represent special interests rather than consumers’ needs. This may undermine the legitimacy of big data applications.This article argues that providing sufficient consumer participation in privacy matters requires choosing the best available decision making mechanism. Is a consumer to negotiate his own privacy terms in the market, will lawmakers step in on his behalf, or is he to seek protection through courts? Furthermore is this a matter of national law or European law? These choices will affect the opportunities for achieving different policy goals associated with the possible benefits of the “big data revolution”.

BORDERS OF COMMUNICATION PRIVACY IN SLOVENIAN CRIMINAL PROCEDURE – CONSTITUTIONAL CHALLENGES

Directory of Open Access Journals (Sweden)

Sabina Zgaga

2015-01-01

Full Text Available Due to fast technological development and our constant communication protection of communication privacy in every aspect of our (legal life has become more important than ever before. Regarding protection of privacy in criminal procedure special emphasis should be given to the regulation of privacy in Slovenian Constitution and its interpretation in the case law of the Constitutional Court. This paper presents the definition of privacy and communication privacy in Slovenian constitutional law and exposes the main issues of communication privacy that have been discussed in the case law of the Constitutional Court in the last twenty years. Thereby the paper tries to show the general trend in the case law of Constitutional Court regarding the protection of communication privacy and to expose certain unsolved issues and unanswered challenges. Slovenian constitutional regulation of communication privacy is very protective, considering the broad definition of privacy and the strict conditions for encroachment of communication privacy. The case law of Slovenian Constitutional Court has also shown such trend, with the possible exception of the recent decision on a dynamic IP address. The importance of this decision is however significant, since it could be applicable to all forms of communication via internet, the prevailing form of communication nowadays. Certain challenges still lay ahead, such as the current proposal for the amendment of Criminal Procedure Act-M, which includes the use of IMSI catchers and numerous unanswered issues regarding data retention after the decisive annulment of its partial legal basis by the Constitutional Court.

The effect of macroeconomic conditions on the care decisions of the employed.

Science.gov (United States)

Hughes, Danny R; Khaliq, Amir A

2014-02-01

Medical care utilization has been found to be affected indirectly by changes in economic conditions through associated changes in employment or insurance status. However, if individuals interpret external macroeconomic conditions as employment risk, they may alter decisions to seek care even if they remain both employed and insured. To examine the relationship between macroeconomic fluctuations and the medical care usage of Americans who are both employed and insured. Restricting the Medical Expenditure Panel Survey from 1995 to 2008 to respondents whose employment status and insurance status did not change, we employed a fixed-effect Poisson model to examine the association between state average annual unemployment rates and the utilization of 12 medical services. The average annual state unemployment rate was found to be a significant factor in hospital outpatient visits (P macroeconomic conditions are an important factor in the medical decisions of employed and insured individuals. Thus, policy changes that increase access among the unemployed or uninsured may mitigate this employment risk effect and create incentives that potentially alter the utilization decisions among those currently both employed and insured.

Quantifying the costs and benefits of privacy-preserving health data publishing.

Science.gov (United States)

Khokhar, Rashid Hussain; Chen, Rui; Fung, Benjamin C M; Lui, Siu Man

2014-08-01

Cost-benefit analysis is a prerequisite for making good business decisions. In the business environment, companies intend to make profit from maximizing information utility of published data while having an obligation to protect individual privacy. In this paper, we quantify the trade-off between privacy and data utility in health data publishing in terms of monetary value. We propose an analytical cost model that can help health information custodians (HICs) make better decisions about sharing person-specific health data with other parties. We examine relevant cost factors associated with the value of anonymized data and the possible damage cost due to potential privacy breaches. Our model guides an HIC to find the optimal value of publishing health data and could be utilized for both perturbative and non-perturbative anonymization techniques. We show that our approach can identify the optimal value for different privacy models, including K-anonymity, LKC-privacy, and ∊-differential privacy, under various anonymization algorithms and privacy parameters through extensive experiments on real-life data. Copyright © 2014 Elsevier Inc. All rights reserved.

Rethinking the Privacy Calculus: On the Role of Dispositional Factors and Affect

OpenAIRE

Kehr, Flavius; Wentzel, Daniel; Mayer, Peter

2013-01-01

Existing research on information privacy has mostly relied on the privacy calculus model which views privacy-related decision making as a rational process where individuals weigh the anticipated risks of disclosing personal data against the potential benefits. However, scholars have recently challenged two basic propositions of the privacy calculus model. First, some authors have distinguished between general and situational factors in the context of privacy calculus and have argued that ...

Automated Decision-Making and Big Data: Concerns for People With Mental Illness.

Science.gov (United States)

Monteith, Scott; Glenn, Tasha

2016-12-01

Automated decision-making by computer algorithms based on data from our behaviors is fundamental to the digital economy. Automated decisions impact everyone, occurring routinely in education, employment, health care, credit, and government services. Technologies that generate tracking data, including smartphones, credit cards, websites, social media, and sensors, offer unprecedented benefits. However, people are vulnerable to errors and biases in the underlying data and algorithms, especially those with mental illness. Algorithms based on big data from seemingly unrelated sources may create obstacles to community integration. Voluntary online self-disclosure and constant tracking blur traditional concepts of public versus private data, medical versus non-medical data, and human versus automated decision-making. In contrast to sharing sensitive information with a physician in a confidential relationship, there may be numerous readers of information revealed online; data may be sold repeatedly; used in proprietary algorithms; and are effectively permanent. Technological changes challenge traditional norms affecting privacy and decision-making, and continued discussions on new approaches to provide privacy protections are needed.

Big data privacy: The datafication of personal information

DEFF Research Database (Denmark)

Mai, Jens-Erik

2016-01-01

. This broadened approach will take our thinking beyond current preoccupation with whether or not individuals’ consent was secured for data collection to privacy issues arising from the development of new information on individuals' likely behavior through analysis of already collected data—this new information......In the age of big data we need to think differently about privacy. We need to shift our thinking from definitions of privacy (characteristics of privacy) to models of privacy (how privacy works). Moreover, in addition to the existing models of privacy—the surveillance model and capture model......—we need to also consider a new model: the datafication model presented in this article, wherein new personal information is deduced by employing predictive analytics on already-gathered data. These three models of privacy supplement each other; they are not competing understandings of privacy...

A Heuristic Model for Supporting Users’ Decision-Making in Privacy Disclosure for Recommendation

Directory of Open Access Journals (Sweden)

Hongchen Wu

2018-01-01

Full Text Available Privacy issues have become a major concern in the web of resource sharing, and users often have difficulty managing their information disclosure in the context of high-quality experiences from social media and Internet of Things. Recent studies have shown that users’ disclosure decisions may be influenced by heuristics from the crowds, leading to inconsistency in the disclosure volumes and reduction of the prediction accuracy. Therefore, an analysis of why this influence occurs and how to optimize the user experience is highly important. We propose a novel heuristic model that defines the data structures of items and participants in social media, utilizes a modified decision-tree classifier that can predict participants’ disclosures, and puts forward a correlation analysis for detecting disclosure inconsistences. The heuristic model is applied to real-time dataset to evaluate the behavioral effects. Decision-tree classifier and correlation analysis indeed prove that some participants’ behaviors in information disclosures became decreasingly correlated during item requesting. Participants can be “persuaded” to change their disclosure behaviors, and the users’ answers to the mildly sensitive items tend to be more variable and less predictable. Using this approach, recommender systems in social media can thus know the users better and provide service with higher prediction accuracy.

What was privacy?

Science.gov (United States)

McCreary, Lew

2008-10-01

Why is that question in the past tense? Because individuals can no longer feel confident that the details of their lives--from identifying numbers to cultural preferences--will be treated with discretion rather than exploited. Even as Facebook users happily share the names of their favorite books, movies, songs, and brands, they often regard marketers' use of that information as an invasion of privacy. In this wide-ranging essay, McCreary, a senior editor at HBR, examines numerous facets of the privacy issue, from Google searches, public shaming on the internet, and cell phone etiquette to passenger screening devices, public surveillance cameras, and corporate chief privacy officers. He notes that IBM has been a leader on privacy; its policy forswearing the use of employees' genetic information in hiring and benefits decisions predated the federal Genetic Information Nondiscrimination Act by three years. Now IBM is involved in an open-source project known as Higgins to provide users with transportable, potentially anonymous online presences. Craigslist, whose CEO calls it "as close to 100% user driven as you can get," has taken an extremely conservative position on privacy--perhaps easier for a company with a declared lack of interest in maximizing revenue. But TJX and other corporate victims of security breaches have discovered that retaining consumers' transaction information can be both costly and risky. Companies that underestimate the importance of privacy to their customers or fail to protect it may eventually face harsh regulation, reputational damage, or both. The best thing they can do, says the author, is negotiate directly with those customers over where to draw the line.

Disentangling privacy from property: toward a deeper understanding of genetic privacy.

Science.gov (United States)

Suter, Sonia M

2004-04-01

With the mapping of the human genome, genetic privacy has become a concern to many. People care about genetic privacy because genes play an important role in shaping us--our genetic information is about us, and it is deeply connected to our sense of ourselves. In addition, unwanted disclosure of our genetic information, like a great deal of other personal information, makes us vulnerable to unwanted exposure, stigmatization, and discrimination. One recent approach to protecting genetic privacy is to create property rights in genetic information. This Article argues against that approach. Privacy and property are fundamentally different concepts. At heart, the term "property" connotes control within the marketplace and over something that is disaggregated or alienable from the self. "Privacy," in contrast, connotes control over access to the self as well as things close to, intimately connected to, and about the self. Given these different meanings, a regime of property rights in genetic information would impoverish our understanding of that information, ourselves, and the relationships we hope will be built around and through its disclosure. This Article explores our interests in genetic information in order to deepen our understanding of the ongoing discourse about the distinction between property and privacy. It develops a conception of genetic privacy with a strong relational component. We ordinarily share genetic information in the context of relationships in which disclosure is important to the relationship--family, intimate, doctor-patient, researcher-participant, employer-employee, and insurer-insured relationships. Such disclosure makes us vulnerable to and dependent on the person to whom we disclose it. As a result, trust is essential to the integrity of these relationships and our sharing of genetic information. Genetic privacy can protect our vulnerability in these relationships and enhance the trust we hope to have in them. Property, in contrast, by

Interpretation and Analysis of Privacy Policies of Websites in India

DEFF Research Database (Denmark)

Dhotre, Prashant Shantaram; Olesen, Henning; Khajuria, Samant

2016-01-01

the conditions specified in the policy document. So, ideally the privacy policies should be readable and provide sufficient information to empower users to make knowledgeable decisions. Thus, we have examined more than 50 privacy policies and discussed the content analysis in this paper. We discovered...... on information collection methods, purpose, sharing entities names and data transit. In this study, the 11 % privacy policies are compliance with privacy standards which denotes other privacy policies are less committed to support transparency, choice, and accountability in the process of information collection...... that the policies are not only unstructured but also described in complicated language. Our analysis shows that the user data security measures are nonspecific and unsatisfactory in 57% privacy policies. In spite of huge amount of information collection, the privacy policies does not have clear description...

Protecting Privacy and Confidentiality in Environmental Health Research.

Science.gov (United States)

Resnik, David B

2010-01-01

Environmental health researchers often need to make difficult decisions on how to protect privacy and confidentiality when they conduct research in the home or workplace. These dilemmas are different from those normally encountered in clinical research. Although protecting privacy and confidentiality is one of the most important principles of research involving human subjects, it can be overridden to prevent imminent harm to individuals or if required by law. Investigators should carefully consider the facts and circumstances and use good judgment when deciding whether to breach privacy or confidentiality.

Modelling information dissemination under privacy concerns in social media

Science.gov (United States)

Zhu, Hui; Huang, Cheng; Lu, Rongxing; Li, Hui

2016-05-01

Social media has recently become an important platform for users to share news, express views, and post messages. However, due to user privacy preservation in social media, many privacy setting tools are employed, which inevitably change the patterns and dynamics of information dissemination. In this study, a general stochastic model using dynamic evolution equations was introduced to illustrate how privacy concerns impact the process of information dissemination. Extensive simulations and analyzes involving the privacy settings of general users, privileged users, and pure observers were conducted on real-world networks, and the results demonstrated that user privacy settings affect information differently. Finally, we also studied the process of information diffusion analytically and numerically with different privacy settings using two classic networks.

From Data Privacy to Location Privacy

Science.gov (United States)

Wang, Ting; Liu, Ling

Over the past decade, the research on data privacy has achieved considerable advancement in the following two aspects: First, a variety of privacy threat models and privacy principles have been proposed, aiming at providing sufficient protection against different types of inference attacks; Second, a plethora of algorithms and methods have been developed to implement the proposed privacy principles, while attempting to optimize the utility of the resulting data. The first part of the chapter presents an overview of data privacy research by taking a close examination at the achievements from the above two aspects, with the objective of pinpointing individual research efforts on the grand map of data privacy protection. As a special form of data privacy, location privacy possesses its unique characteristics. In the second part of the chapter, we examine the research challenges and opportunities of location privacy protection, in a perspective analogous to data privacy. Our discussion attempts to answer the following three questions: (1) Is it sufficient to apply the data privacy models and algorithms developed to date for protecting location privacy? (2) What is the current state of the research on location privacy? (3) What are the open issues and technical challenges that demand further investigation? Through answering these questions, we intend to provide a comprehensive review of the state of the art in location privacy research.

Privacy-preserving heterogeneous health data sharing.

Science.gov (United States)

Mohammed, Noman; Jiang, Xiaoqian; Chen, Rui; Fung, Benjamin C M; Ohno-Machado, Lucila

2013-05-01

Privacy-preserving data publishing addresses the problem of disclosing sensitive data when mining for useful information. Among existing privacy models, ε-differential privacy provides one of the strongest privacy guarantees and makes no assumptions about an adversary's background knowledge. All existing solutions that ensure ε-differential privacy handle the problem of disclosing relational and set-valued data in a privacy-preserving manner separately. In this paper, we propose an algorithm that considers both relational and set-valued data in differentially private disclosure of healthcare data. The proposed approach makes a simple yet fundamental switch in differentially private algorithm design: instead of listing all possible records (ie, a contingency table) for noise addition, records are generalized before noise addition. The algorithm first generalizes the raw data in a probabilistic way, and then adds noise to guarantee ε-differential privacy. We showed that the disclosed data could be used effectively to build a decision tree induction classifier. Experimental results demonstrated that the proposed algorithm is scalable and performs better than existing solutions for classification analysis. The resulting utility may degrade when the output domain size is very large, making it potentially inappropriate to generate synthetic data for large health databases. Unlike existing techniques, the proposed algorithm allows the disclosure of health data containing both relational and set-valued data in a differentially private manner, and can retain essential information for discriminative analysis.

The Right of Privacy of Public School Employees.

Science.gov (United States)

Bullock, Angela; Faber, Charles F.

A nationwide controversy over the right of privacy has arisen as a result of companies probing into their workers' habits and health through such means as mandatory drug tests, electronic databases, and lie detector tests. The legal claims arising from these civil suits against employers for invasion of privacy have established precedents that are…

Distributed privacy preserving data collection

KAUST Repository

Xue, Mingqiang; Papadimitriou, Panagiotis D.; Raï ssi, Chedy; Kalnis, Panos; Pung, Hungkeng

2011-01-01

an anonymized table by generalization of quasi-identifier attributes. The protocol employs cryptographic techniques such as homomorphic encryption, private information retrieval and secure multiparty computation to ensure the privacy goal in the process of data

Employer health insurance offerings and employee enrollment decisions.

Science.gov (United States)

Polsky, Daniel; Stein, Rebecca; Nicholson, Sean; Bundorf, M Kate

2005-10-01

To determine how the characteristics of the health benefits offered by employers affect worker insurance coverage decisions. The 1996-1997 and the 1998-1999 rounds of the nationally representative Community Tracking Study Household Survey. We use multinomial logistic regression to analyze the choice between own-employer coverage, alternative source coverage, and no coverage among employees offered health insurance by their employer. The key explanatory variables are the types of health plans offered and the net premium offered. The models include controls for personal, health plan, and job characteristics. When an employer offers only a health maintenance organization married employees are more likely to decline coverage from their employer and take-up another offer (odds ratio (OR)=1.27, phealth plan coverage an employer offers affects whether its employees take-up insurance, but has a smaller effect on overall coverage rates for workers and their families because of the availability of alternative sources of coverage. Relative to offering only a non-HMO plan, employers offering only an HMO may reduce take-up among those with alternative sources of coverage, but increase take-up among those who would otherwise go uninsured. By modeling the possibility of take-up through the health insurance offers from the employer of the spouse, the decline in coverage rates from higher net premiums is less than previous estimates.

Millennials sex differences on Snapchat perceived privacy

Directory of Open Access Journals (Sweden)

Antonietta Rauzzino

2017-07-01

Full Text Available Snapchat offers a distinctive feature from other social networks in that its users control the visibility of the contents they share with others by defining how long these contents may be available. Snapchat is changing the way men and women perceive online information privacy and content management. This paper aims to illustrate the relevance of social representation theory to evaluate perceived privacy in Snapchat users, with a sample of 268 young adults residing in Bogotá. A survey method was employed for data collection purposes. The results reveal that Snapchat users are concerned about their networks’ privacy, with no significant sex differences, although men's perception of Snapchat privacy is safer than that of women. Finally, a discussion is presented as to the limitations and implications of these results for further studies.

Genetic privacy and non-discrimination.

Science.gov (United States)

Romeo Casabona, Carlos María

2011-01-01

The UN Inter-Agency Committee on Bioethics met for its tenth meeting at the UNESCO headquarters in Paris on 4-5th March 2011. Member organisations such as the WHO and UNESCO were in attendance alongside associate members such as the Council for Europe, the European Commission, the Organisation for Economic Co-operation and Development and the World Trade Organisation. Discussion centred on the theme "genetic privacy and nondiscrimination". The United Nations Economic and Social Council (ECOSOC) had previously considered, from a legal and ethical perspective, the implications of increasingly sophisticated technologies for genetic privacy and non-discrimination in fields such as medicine, employment and insurance. Thus, the ECOSOC requested that UNESCO report on relevant developments in the field of genetic privacy and non-discrimination. In parallel with a consultation process with member states, UNESCO launched a consultation with the UN Interagency Committee on Bioethics. This article analyses the report presented by the author concerning the analysis of the current contentions in the field and illustrates attempts at responding on a normative level to a perceived threat to genetic privacy and non-discrimination.

Privacy proof in the cloud

NARCIS (Netherlands)

Jessen, Veerle; Weigand, Hans; Mouratidis, Haris

Cloud computing has been a frequently researched subject as it brings many advantages, such as the ability to store data remotely and scale rapidly, but also comes with several issues, including privacy, trust and security. The decision whether it is best to go `into the cloud' or to `stay inside'

Local Management of Schools: Rationality and Decision-Making in the Employment of Teachers.

Science.gov (United States)

Huckman, Lynda; Hill, Tim

1994-01-01

Examines the use of rational planning techniques in five English elementary schools. Discusses the decision-making processes used to determine the employment and remuneration of teachers. Finds that the decree of control over decision making was related closely to the extent to which decisions would contribute to solutions of other school…

Secure privacy-preserving biometric authentication scheme for telecare medicine information systems.

Science.gov (United States)

Li, Xuelei; Wen, Qiaoyan; Li, Wenmin; Zhang, Hua; Jin, Zhengping

2014-11-01

Healthcare delivery services via telecare medicine information systems (TMIS) can help patients to obtain their desired telemedicine services conveniently. However, information security and privacy protection are important issues and crucial challenges in healthcare information systems, where only authorized patients and doctors can employ telecare medicine facilities and access electronic medical records. Therefore, a secure authentication scheme is urgently required to achieve the goals of entity authentication, data confidentiality and privacy protection. This paper investigates a new biometric authentication with key agreement scheme, which focuses on patient privacy and medical data confidentiality in TMIS. The new scheme employs hash function, fuzzy extractor, nonce and authenticated Diffie-Hellman key agreement as primitives. It provides patient privacy protection, e.g., hiding identity from being theft and tracked by unauthorized participant, and preserving password and biometric template from being compromised by trustless servers. Moreover, key agreement supports secure transmission by symmetric encryption to protect patient's medical data from being leaked. Finally, the analysis shows that our proposal provides more security and privacy protection for TMIS.

A Cross-Cultural Perspective on the Privacy Calculus

Directory of Open Access Journals (Sweden)

Sabine Trepte

2017-01-01

Full Text Available The “privacy calculus” approach to studying online privacy implies that willingness to engage in disclosures on social network sites (SNSs depends on evaluation of the resulting risks and benefits. In this article, we propose that cultural factors influence the perception of privacy risks and social gratifications. Based on survey data collected from participants from five countries (Germany [n = 740], the Netherlands [n = 89], the United Kingdom [n = 67], the United States [n = 489], and China [n = 165], we successfully replicated the privacy calculus. Furthermore, we found that culture plays an important role: As expected, people from cultures ranking high in individualism found it less important to generate social gratifications on SNSs as compared to people from collectivist-oriented countries. However, the latter placed greater emphasis on privacy risks—presumably to safeguard the collective. Furthermore, we identified uncertainty avoidance to be a cultural dimension crucially influencing the perception of SNS risks and benefits. As expected, people from cultures ranking high in uncertainty avoidance found privacy risks to be more important when making privacy-related disclosure decisions. At the same time, these participants ascribed lower importance to social gratifications—possibly because social encounters are perceived to be less controllable in the social media environment.

(IN-PRIVACY IN MOBILE APPS. CUSTOMER OPPORTUNITIES

Directory of Open Access Journals (Sweden)

Yu.S. Chemerkina

2016-01-01

Full Text Available Subject of Study. The paper presents the results of an investigation of cross-platform mobile applications. This paper focuses on a cross-platform app data investigation in purpose of creating a database that helps to make decisions from data privacy viewpoint. These decisions refer to knowledge about mobile apps that are available to the public, especially on how consumer data is protected while it is stored locally or transferred via network as well as what type of data may leak. Methods. This paper proposes a forensics methodology as a cornerstone of an app data investigation process. The object of research is an application data protection under different security control types among modern mobile OS. The subject of research is a modification of forensics approach and behavioral analysis to examine application data privacy in order to find data that are not properly handled by applications which lead to data leakages, defining protection control type without forensics limits. In addition, this paper relies on using the simplest tools, proposing a limit to examine locally stored data and transmitted over the network to cover all data, excluding memory and code analysis unless it is valuable (behavioral analysis. The research methods of the tasks set in the paper include digital forensics approach methods depending on data conception (at-rest, in-use/memory, in-transit with behavioral analysis of application, and static and dynamic application code analysis. Main Results. The research was carried out for the scope of that thesis, and the following scientific results were obtained. First, the methods used to investigate the privacy of application data allow considering application features and protection code design and flaws in the context of incomplete user awareness about the privacy state due to external activity of the developer. Second, the knowledge set about facts of application data protection that allows making a knowledge database to

Reward-based spatial crowdsourcing with differential privacy preservation

Science.gov (United States)

Xiong, Ping; Zhang, Lefeng; Zhu, Tianqing

2017-11-01

In recent years, the popularity of mobile devices has transformed spatial crowdsourcing (SC) into a novel mode for performing complicated projects. Workers can perform tasks at specified locations in return for rewards offered by employers. Existing methods ensure the efficiency of their systems by submitting the workers' exact locations to a centralised server for task assignment, which can lead to privacy violations. Thus, implementing crowsourcing applications while preserving the privacy of workers' location is a key issue that needs to be tackled. We propose a reward-based SC method that achieves acceptable utility as measured by task assignment success rates, while efficiently preserving privacy. A differential privacy model ensures rigorous privacy guarantee, and Laplace noise is introduced to protect workers' exact locations. We then present a reward allocation mechanism that adjusts each piece of the reward for a task using the distribution of the workers' locations. Through experimental results, we demonstrate that this optimised-reward method is efficient for SC applications.

The Different Functions of Speech in Defamation and Privacy Cases.

Science.gov (United States)

Kebbel, Gary

1984-01-01

Reviews United States Supreme Court decisions since 1900 to show that free speech decisions often rest on the circumstances surrounding the speech. Indicates that freedom of speech wins out over privacy when social or political function but not when personal happiness is the issue.

A Distributed Ensemble Approach for Mining Healthcare Data under Privacy Constraints.

Science.gov (United States)

Li, Yan; Bai, Changxin; Reddy, Chandan K

2016-02-10

In recent years, electronic health records (EHRs) have been widely adapted at many healthcare facilities in an attempt to improve the quality of patient care and increase the productivity and efficiency of healthcare delivery. These EHRs can accurately diagnose diseases if utilized appropriately. While the EHRs can potentially resolve many of the existing problems associated with disease diagnosis, one of the main obstacles in effectively using them is the patient privacy and sensitivity of the medical information available in the EHR. Due to these concerns, even if the EHRs are available for storage and retrieval purposes, sharing of the patient records between different healthcare facilities has become a major concern and has hampered some of the effective advantages of using EHRs. Due to this lack of data sharing, most of the facilities aim at building clinical decision support systems using limited amount of patient data from their own EHR systems to provide important diagnosis related decisions. It becomes quite infeasible for a newly established healthcare facility to build a robust decision making system due to the lack of sufficient patient records. However, to make effective decisions from clinical data, it is indispensable to have large amounts of data to train the decision models. In this regard, there are conflicting objectives of preserving patient privacy and having sufficient data for modeling and decision making. To handle such disparate goals, we develop two adaptive distributed privacy-preserving algorithms based on a distributed ensemble strategy. The basic idea of our approach is to build an elegant model for each participating facility to accurately learn the data distribution, and then can transfer the useful healthcare knowledge acquired on their data from these participators in the form of their own decision models without revealing and sharing the patient-level sensitive data, thus protecting patient privacy. We demonstrate that our

Beyond Lawrence v. Texas: crafting a fundamental right to sexual privacy.

Science.gov (United States)

Fasullo, Kristin

2009-05-01

After the watershed 2003 U.S. Supreme Court decision Lawrence v.Texas, courts are faced with the daunting task of navigating the bounds of sexual privacy in light of Lawrence's sweeping language and unconventional structure. This Note focuses on the specific issue of state governments regulating sexual device distribution. Evaluating the substantive due process rights of sexual device retailers and users, this Note ultimately argues that the privacy interest identified in Lawrence is sufficiently broad to protect intimate decisions to engage in adult consensual sexual behavior, including the liberty to sell, purchase, and use a sexual device.

Privacy vs. Reward in Indoor Location-Based Services

Directory of Open Access Journals (Sweden)

Fawaz Kassem

2016-10-01

Full Text Available With the advance of indoor localization technology, indoor location-based services (ILBS are gaining popularity. They, however, accompany privacy concerns. ILBS providers track the users’ mobility to learn more about their behavior, and then provide them with improved and personalized services. Our survey of 200 individuals highlighted their concerns about this tracking for potential leakage of their personal/private traits, but also showed their willingness to accept reduced tracking for improved service. In this paper, we propose PR-LBS (Privacy vs. Reward for Location-Based Service, a system that addresses these seemingly conflicting requirements by balancing the users’ privacy concerns and the benefits of sharing location information in indoor location tracking environments. PR-LBS relies on a novel location-privacy criterion to quantify the privacy risks pertaining to sharing indoor location information. It also employs a repeated play model to ensure that the received service is proportionate to the privacy risk. We implement and evaluate PR-LBS extensively with various real-world user mobility traces. Results show that PR-LBS has low overhead, protects the users’ privacy, and makes a good tradeoff between the quality of service for the users and the utility of shared location data for service providers.

Control use of data to protect privacy.

Science.gov (United States)

Landau, Susan

2015-01-30

Massive data collection by businesses and governments calls into question traditional methods for protecting privacy, underpinned by two core principles: (i) notice, that there should be no data collection system whose existence is secret, and (ii) consent, that data collected for one purpose not be used for another without user permission. But notice, designated as a fundamental privacy principle in a different era, makes little sense in situations where collection consists of lots and lots of small amounts of information, whereas consent is no longer realistic, given the complexity and number of decisions that must be made. Thus, efforts to protect privacy by controlling use of data are gaining more attention. I discuss relevant technology, policy, and law, as well as some examples that can illuminate the way. Copyright © 2015, American Association for the Advancement of Science.

Scalable privacy-preserving big data aggregation mechanism

Directory of Open Access Journals (Sweden)

Dapeng Wu

2016-08-01

Full Text Available As the massive sensor data generated by large-scale Wireless Sensor Networks (WSNs recently become an indispensable part of ‘Big Data’, the collection, storage, transmission and analysis of the big sensor data attract considerable attention from researchers. Targeting the privacy requirements of large-scale WSNs and focusing on the energy-efficient collection of big sensor data, a Scalable Privacy-preserving Big Data Aggregation (Sca-PBDA method is proposed in this paper. Firstly, according to the pre-established gradient topology structure, sensor nodes in the network are divided into clusters. Secondly, sensor data is modified by each node according to the privacy-preserving configuration message received from the sink. Subsequently, intra- and inter-cluster data aggregation is employed during the big sensor data reporting phase to reduce energy consumption. Lastly, aggregated results are recovered by the sink to complete the privacy-preserving big data aggregation. Simulation results validate the efficacy and scalability of Sca-PBDA and show that the big sensor data generated by large-scale WSNs is efficiently aggregated to reduce network resource consumption and the sensor data privacy is effectively protected to meet the ever-growing application requirements.

Protecting Privacy in Big Data: A Layered Approach for Curriculum Integration

Science.gov (United States)

Schwieger, Dana; Ladwig, Christine

2016-01-01

The demand for college graduates with skills in big data analysis is on the rise. Employers in all industry sectors have found significant value in analyzing both separate and combined data streams. However, news reports continue to script headlines drawing attention to data improprieties, privacy breaches and identity theft. While data privacy is…

THE INFLUENCE OF PRIVACY REGULATION ON URBAN MALAY FAMILIES LIVING IN TERRACE HOUSING

Directory of Open Access Journals (Sweden)

Ahmad Ahmad Hashim

2008-07-01

Full Text Available This paper reports on behavioral norms and territoriality as part of behavioral and environmental mechanisms used to regulate privacy among urban Malay families living in terrace housing. In-depth interview was employed involving 11 case studies of Malay families living in three-bedroom two-storey terrace housings in the urban areas. Findings indicate that while most of the behavioral norms employed to regulate privacy are consistent with Malay cultural norms and religious belief, there are a few which are not consistent due to the constraint of terrace housing. Defined territory and the need to respect the neighbors’ privacy are found to indirectly affect community intimacy among Malay families living in terrace housings.

Privacy Attitudes among Early Adopters of Emerging Health Technologies.

Directory of Open Access Journals (Sweden)

Cynthia Cheung

Full Text Available Advances in health technology such as genome sequencing and wearable sensors now allow for the collection of highly granular personal health data from individuals. It is unclear how people think about privacy in the context of these emerging health technologies. An open question is whether early adopters of these advances conceptualize privacy in different ways than non-early adopters.This study sought to understand privacy attitudes of early adopters of emerging health technologies.Transcripts from in-depth, semi-structured interviews with early adopters of genome sequencing and health devices and apps were analyzed with a focus on participant attitudes and perceptions of privacy. Themes were extracted using inductive content analysis.Although interviewees were willing to share personal data to support scientific advancements, they still expressed concerns, as well as uncertainty about who has access to their data, and for what purpose. In short, they were not dismissive of privacy risks. Key privacy-related findings are organized into four themes as follows: first, personal data privacy; second, control over personal information; third, concerns about discrimination; and fourth, contributing personal data to science.Early adopters of emerging health technologies appear to have more complex and nuanced conceptions of privacy than might be expected based on their adoption of personal health technologies and participation in open science. Early adopters also voiced uncertainty about the privacy implications of their decisions to use new technologies and share their data for research. Though not representative of the general public, studies of early adopters can provide important insights into evolving attitudes toward privacy in the context of emerging health technologies and personal health data research.

Privacy Attitudes among Early Adopters of Emerging Health Technologies.

Science.gov (United States)

Cheung, Cynthia; Bietz, Matthew J; Patrick, Kevin; Bloss, Cinnamon S

2016-01-01

Advances in health technology such as genome sequencing and wearable sensors now allow for the collection of highly granular personal health data from individuals. It is unclear how people think about privacy in the context of these emerging health technologies. An open question is whether early adopters of these advances conceptualize privacy in different ways than non-early adopters. This study sought to understand privacy attitudes of early adopters of emerging health technologies. Transcripts from in-depth, semi-structured interviews with early adopters of genome sequencing and health devices and apps were analyzed with a focus on participant attitudes and perceptions of privacy. Themes were extracted using inductive content analysis. Although interviewees were willing to share personal data to support scientific advancements, they still expressed concerns, as well as uncertainty about who has access to their data, and for what purpose. In short, they were not dismissive of privacy risks. Key privacy-related findings are organized into four themes as follows: first, personal data privacy; second, control over personal information; third, concerns about discrimination; and fourth, contributing personal data to science. Early adopters of emerging health technologies appear to have more complex and nuanced conceptions of privacy than might be expected based on their adoption of personal health technologies and participation in open science. Early adopters also voiced uncertainty about the privacy implications of their decisions to use new technologies and share their data for research. Though not representative of the general public, studies of early adopters can provide important insights into evolving attitudes toward privacy in the context of emerging health technologies and personal health data research.

The Models of Applying Online Privacy Literacy Strategies: A Case Study of Instagram Girl Users

OpenAIRE

Abdollah Bicharanlou; Seyedeh farzaneh Siasi rad

2017-01-01

Social networks affect remarkably in the lives of virtual space users. These networks like most human relations involve compromising between self-disclosure and privacy protection. A process which is realized through improving privacy and empowering the user at the personal level. This study aimed to assess strategies based on online privacy literacy. In particular, strategies that Instagram young girls users should employ to achieve the optimum level of privacy. For this purpose, firstly the...

Reclaiming Data Ownership: Differential Privacy in a Decentralized Setting

OpenAIRE

Asplund, Alexander Benjamin; Hartvigsen, Peter F

2015-01-01

In the field of privacy-preserving data mining the common practice have been to gather data from the users, centralize it in a single database, and employ various anonymization techniques to protect the personally identifiable information contained within the data. Both theoretical analyses and real-world examples of data breaches have proven that these methods have severe shortcomings in protecting an individual's privacy. A major breakthrough was achieved in 2006 when a method called differ...

THE INFLUENCE OF PRIVACY REGULATION ON URBAN MALAY FAMILIES LIVING IN TERRACE HOUSING

OpenAIRE

Ahmad Hariza Hashim; Zaiton Abdul Rahim

2008-01-01

This paper reports on behavioral norms and territoriality as part of behavioral and environmental mechanisms used to regulate privacy among urban Malay families living in terrace housing. In-depth interview was employed involving 11 case studies of Malay families living in three-bedroom two-storey terrace housings in the urban areas. Findings indicate that while most of the behavioral norms employed to regulate privacy are consistent with Malay cultural norms and religious belief, there are a...

A Taxonomy of Privacy Constructs for Privacy-Sensitive Robotics

OpenAIRE

Rueben, Matthew; Grimm, Cindy M.; Bernieri, Frank J.; Smart, William D.

2017-01-01

The introduction of robots into our society will also introduce new concerns about personal privacy. In order to study these concerns, we must do human-subject experiments that involve measuring privacy-relevant constructs. This paper presents a taxonomy of privacy constructs based on a review of the privacy literature. Future work in operationalizing privacy constructs for HRI studies is also discussed.

Privacy protectionism and health information: is there any redress for harms to health?

Science.gov (United States)

Allen, Judy; Holman, C D'arcy J; Meslin, Eric M; Stanley, Fiona

2013-12-01

Health information collected by governments can be a valuable resource for researchers seeking to improve diagnostics, treatments and public health outcomes. Responsible use requires close attention to privacy concerns and to the ethical acceptability of using personal health information without explicit consent. Less well appreciated are the legal and ethical issues that are implicated when privacy protection is extended to the point where the potential benefits to the public from research are lost. Balancing these issues is a delicate matter for data custodians. This article examines the legal, ethical and structural context in which data custodians make decisions about the release of data for research. It considers the impact of those decisions on individuals. While there is strong protection against risks to privacy and multiple avenues of redress, there is no redress where harms result from a failure to release data for research.

Privacy under construction : A developmental perspective on privacy perception

NARCIS (Netherlands)

Steijn, W.M.P.; Vedder, A.H.

2015-01-01

We present a developmental perspective regarding the difference in perceptions toward privacy between young and old. Here, we introduce the notion of privacy conceptions, that is, the specific ideas that individuals have regarding what privacy actually is. The differences in privacy concerns often

Privacy Bridges: EU and US Privacy Experts In Search of Transatlantic Privacy Solutions

NARCIS (Netherlands)

Abramatic, J.-F.; Bellamy, B.; Callahan, M.E.; Cate, F.; van Eecke, P.; van Eijk, N.; Guild, E.; de Hert, P.; Hustinx, P.; Kuner, C.; Mulligan, D.; O'Connor, N.; Reidenberg, J.; Rubinstein, I.; Schaar, P.; Shadbolt, N.; Spiekermann, S.; Vladeck, D.; Weitzner, D.J.; Zuiderveen Borgesius, F.; Hagenauw, D.; Hijmans, H.

2015-01-01

The EU and US share a common commitment to privacy protection as a cornerstone of democracy. Following the Treaty of Lisbon, data privacy is a fundamental right that the European Union must proactively guarantee. In the United States, data privacy derives from constitutional protections in the

Leaking privacy and shadow profiles in online social networks.

Science.gov (United States)

Garcia, David

2017-08-01

Social interaction and data integration in the digital society can affect the control that individuals have on their privacy. Social networking sites can access data from other services, including user contact lists where nonusers are listed too. Although most research on online privacy has focused on inference of personal information of users, this data integration poses the question of whether it is possible to predict personal information of nonusers. This article tests the shadow profile hypothesis, which postulates that the data given by the users of an online service predict personal information of nonusers. Using data from a disappeared social networking site, we perform a historical audit to evaluate whether personal data of nonusers could have been predicted with the personal data and contact lists shared by the users of the site. We analyze personal information of sexual orientation and relationship status, which follow regular mixing patterns in the social network. Going back in time over the growth of the network, we measure predictor performance as a function of network size and tendency of users to disclose their contact lists. This article presents robust evidence supporting the shadow profile hypothesis and reveals a multiplicative effect of network size and disclosure tendencies that accelerates the performance of predictors. These results call for new privacy paradigms that take into account the fact that individual privacy decisions do not happen in isolation and are mediated by the decisions of others.

A Generic Privacy Quantification Framework for Privacy-Preserving Data Publishing

Science.gov (United States)

Zhu, Zutao

2010-01-01

In recent years, the concerns about the privacy for the electronic data collected by government agencies, organizations, and industries are increasing. They include individual privacy and knowledge privacy. Privacy-preserving data publishing is a research branch that preserves the privacy while, at the same time, withholding useful information in…

Choose Privacy Week: Educate Your Students (and Yourself) about Privacy

Science.gov (United States)

Adams, Helen R.

2016-01-01

The purpose of "Choose Privacy Week" is to encourage a national conversation to raise awareness of the growing threats to personal privacy online and in day-to-day life. The 2016 Choose Privacy Week theme is "respecting individuals' privacy," with an emphasis on minors' privacy. A plethora of issues relating to minors' privacy…

75 FR 63703 - Privacy Act of 1974; Privacy Act Regulation

Science.gov (United States)

2010-10-18

... FEDERAL RESERVE SYSTEM 12 CFR Part 261a [Docket No. R-1313] Privacy Act of 1974; Privacy Act... implementing the Privacy Act of 1974 (Privacy Act). The primary changes concern the waiver of copying fees... records under the Privacy Act; the amendment of special procedures for the release of medical records to...

Libraries Protecting Privacy on Social Media: Sharing without "Oversharing"

Directory of Open Access Journals (Sweden)

Kelley Cotter

2016-11-01

Full Text Available Libraries have increasingly adopted social media as an integral means of connecting with their users. However, social media presents many potential concerns regarding library patron privacy. This article presents the findings from a study of how librarians and library staff perceive and handle issues of patron privacy related to social media marketing in libraries. The study reports the results from a mixed-methods online survey, which used a nonprobability self-selection sampling method to collect responses from individuals employed by libraries, without restrictions on position or library type. Nearly three-quarters of respondents reported working in libraries that have either an official or unofficial social media policy. Approximately 53% of those policies mention patron privacy. The findings suggest that many respondents’ views and practices are influenced by the perception of the library’s physical space and social media presence as public places. The findings also suggest a lack of consensus regarding the extent of the library’s obligation to protect patron privacy on library social media sites and what would constitute a violation of privacy.

Designing Privacy for You : A User Centric Approach For Privacy

OpenAIRE

Senarath, Awanthika; Arachchilage, Nalin A. G.; Slay, Jill

2017-01-01

Privacy directly concerns the user as the data owner (data- subject) and hence privacy in systems should be implemented in a manner which concerns the user (user-centered). There are many concepts and guidelines that support development of privacy and embedding privacy into systems. However, none of them approaches privacy in a user- centered manner. Through this research we propose a framework that would enable developers and designers to grasp privacy in a user-centered manner and implement...

An examination of electronic health information privacy in older adults.

Science.gov (United States)

Le, Thai; Thompson, Hilaire; Demiris, George

2013-01-01

Older adults are the quickest growing demographic group and are key consumers of health services. As the United States health system transitions to electronic health records, it is important to understand older adult perceptions of privacy and security. We performed a secondary analysis of the Health Information National Trends Survey (2012, Cycle 1), to examine differences in perceptions of electronic health information privacy between older adults and the general population. We found differences in the level of importance placed on access to electronic health information (older adults placed greater emphasis on provider as opposed to personal access) and tendency to withhold information out of concerns for privacy and security (older adults were less likely to withhold information). We provide recommendations to alleviate some of these privacy concerns. This may facilitate greater use of electronic health communication between patient and provider, while promoting shared decision making.

Managing cancer and employment: Decisions and strategies used by breast cancer survivors employed in low-wage jobs.

Science.gov (United States)

Swanberg, Jennifer E; Nichols, Helen M; Ko, Jungyai; Tracy, J Kathleen; Vanderpool, Robin C

2017-01-01

Advances in breast cancer screening and treatment have led to an overall 5-year survival rate of 90%. Many of these cancer cases are diagnosed in working women. Few studies have explicitly examined the cancer-work interface, as experienced by low-wage earning women with breast cancer. This study uses in-depth, semistructured interviews with 24 low-wage breast cancer survivors to identify employment decisions and factors that influenced or enabled these decisions, and examine the individual strategies and workplace supports used to manage the cancer-work interface among a subset of women (n = 13) who continued to work. Future research areas and clinical implications are discussed.

Supported Decision-Making: Implications from Positive Psychology for Assessment and Intervention in Rehabilitation and Employment.

Science.gov (United States)

Uyanik, Hatice; Shogren, Karrie A; Blanck, Peter

2017-12-01

Purpose This article reviews existing literature on positive psychology, supported decision-making (SDM), employment, and disability. It examines interventions and assessments that have been empirically evaluated for the enhancement of decision-making and overall well-being of people with disabilities. Additionally, conceptual themes present in the literature were explored. Methods A systematic review was conducted across two databases (ERIC and PsychINFO) using various combination of keywords of 'disabilit*', work rehabilitation and employment terms, positive psychology terms, and SDM components. Seven database searches were conducted with diverse combinations of keywords, which identified 1425 results in total to be screened for relevance using their titles and abstracts. Database search was supplemented with hand searches of oft-cited journals, ancestral search, and supplemental search from grey literature. Results Only four studies were identified in the literature targeting SDM and positive psychology related constructs in the employment and job development context. Results across the studies indicated small to moderate impacts of the assessment and interventions on decision-making and engagement outcomes. Conceptually there are thematic areas of potential overlap, although they are limited in the explicit integration of theory in supported decision-making, positive psychology, disability, and employment. Conclusion Results suggest a need for additional scholarship in this area that focuses on theory development and integration as well as empirical work. Such work should examine the potential utility of considering positive psychological interventions when planning for SDM in the context of career development activities to enhance positive outcomes related to decision-making, self-determination, and other positive psychological constructs.

The Decision of Dismissal, Suspension, or Discontinuation of Employment of Public/Private School Teachers

Directory of Open Access Journals (Sweden)

Jui-Che Wu

2014-06-01

Full Text Available There have been controversies over the legal attribute of the decision of dismissal, suspension, or discontinuation of employment of public and private school teachers. The Supreme Administrative Court passed a resolution in July, 2009. In this resolution, the legal relationship between public schools and their teachers was regarded as administrative contracts while the legal attribute of the decision of dismissal, suspension, or discontinuation of employment was categorized into administrative dispositions. Besides, the administrative disposition will not take effect until it obtains approval from the competent educational authorities, and teachers can seek administrative appeal as remedy first, which makes remedy procedure complicated. Therefore, this study first attempts to categorize the legal relationship between the public and private schools and their teachers. Then, the legal attribute of the decision of dismissal, suspension, or discontinuation of employment and the remedy procedure are discussed. It is concluded in this study that the legal relationships between public/private schools and their teachers fall into the categories of administrative/civic contract respectively. Any decision of dismissal, suspension, or discontinuation of employment should be based on this categorization, and the remedy procedure can thus be reduced. Besides teacher’s appeal and re-appeal system being in accordance with Teacher’s Act, the appeal of declaratory judgment on contractual relationship to either the Administrative Court or the Civic Court can also be filed. As a result, the remedy procedure can be simplified to an extent to follow the basic principles stated in the resolution.

Privacy vs security

CERN Document Server

Stalla-Bourdillon, Sophie; Ryan, Mark D

2014-01-01

Securing privacy in the current environment is one of the great challenges of today's democracies. Privacy vs. Security explores the issues of privacy and security and their complicated interplay, from a legal and a technical point of view. Sophie Stalla-Bourdillon provides a thorough account of the legal underpinnings of the European approach to privacy and examines their implementation through privacy, data protection and data retention laws. Joshua Philips and Mark D. Ryan focus on the technological aspects of privacy, in particular, on today's attacks on privacy by the simple use of today'

Can the obstacles to privacy self-management be overcome? Exploring the consent intermediary approach

Directory of Open Access Journals (Sweden)

Tuukka Lehtiniemi

2017-07-01

Full Text Available In privacy self-management, people are expected to perform cost–benefit analysis on the use of their personal data, and only consent when their subjective benefits outweigh the costs. However, the ubiquitous collection of personal data and Big Data analytics present increasing challenges to successful privacy management. A number of services and research initiatives have proposed similar solutions to provide people with more control over their data by consolidating consent decisions under a single interface. We have named this the ‘ consent intermediary ’ approach. In this paper, we first identify the eight obstacles to privacy self-management which make cost–benefit analysis conceptually and practically challenging. We then analyse to which extent consent intermediaries can help overcome the obstacles. We argue that simply bringing consent decisions under one interface offers limited help, but that the potential of this approach lies in leveraging the intermediary position to provide aides for privacy management. We find that with suitable tools, some of the more practical obstacles indeed can become solvable, while others remain fundamentally insuperable within the individuated privacy self-management model. Attention should also be paid to how the consent intermediaries may take advantage of the power vested in the intermediary positions between users and other services.

Privacy transparency patterns

NARCIS (Netherlands)

Siljee B.I.J.

2015-01-01

This paper describes two privacy patterns for creating privacy transparency: the Personal Data Table pattern and the Privacy Policy Icons pattern, as well as a full overview of privacy transparency patterns. It is a first step in creating a full set of privacy design patterns, which will aid

Privacy Awareness: A Means to Solve the Privacy Paradox?

Science.gov (United States)

Pötzsch, Stefanie

People are limited in their resources, i.e. they have limited memory capabilities, cannot pay attention to too many things at the same time, and forget much information after a while; computers do not suffer from these limitations. Thus, revealing personal data in electronic communication environments and being completely unaware of the impact of privacy might cause a lot of privacy issues later. Even if people are privacy aware in general, the so-called privacy paradox shows that they do not behave according to their stated attitudes. This paper discusses explanations for the existing dichotomy between the intentions of people towards disclosure of personal data and their behaviour. We present requirements on tools for privacy-awareness support in order to counteract the privacy paradox.

Privacy Policy

Science.gov (United States)

... Home → NLM Privacy Policy URL of this page: https://medlineplus.gov/privacy.html NLM Privacy Policy To ... out of cookies in the most popular browsers, http://www.usa.gov/optout_instructions.shtml. Please note ...

Designing Privacy Notices: Supporting User Understanding and Control

Science.gov (United States)

Kelley, Patrick Gage

2013-01-01

Users are increasingly expected to manage complex privacy settings in their normal online interactions. From shopping to social networks, users make decisions about sharing their personal information with corporations and contacts, frequently with little assistance. Current solutions require consumers to read long documents or go out of their way…

Concentrated Differential Privacy

OpenAIRE

Dwork, Cynthia; Rothblum, Guy N.

2016-01-01

We introduce Concentrated Differential Privacy, a relaxation of Differential Privacy enjoying better accuracy than both pure differential privacy and its popular "(epsilon,delta)" relaxation without compromising on cumulative privacy loss over multiple computations.

The effect of SCHIP expansions on health insurance decisions by employers.

Science.gov (United States)

Buchmueller, Thomas; Cooper, Philip; Simon, Kosali; Vistnes, Jessica

2005-01-01

This study uses repeated cross-sectional data from the Medical Expenditure Panel Survey-Insurance Component (MEPS-IC), a large nationally representative survey of establishments, to investigate the effect of the State Children's Health Insurance Program (SCHIP) on health insurance decisions by employers. The data span the years 1997 to 2001, the period when states were implementing SCHIP. We exploit cross-state variation in the timing of SCHIP implementation and the extent to which the program increased eligibility for public insurance. We find evidence suggesting that employers whose workers were likely to have been affected by these expansions reacted by raising employee contributions for family coverage options, and that take-up of any coverage, generally, and family coverage, specifically, dropped in these establishments. We find no evidence that employers stopped offering single or family coverage outright.

Privacy Policies

NARCIS (Netherlands)

Dekker, M.A.C.; Etalle, Sandro; den Hartog, Jeremy; Petkovic, M.; Jonker, W.; Jonker, Willem

2007-01-01

Privacy is a prime concern in today's information society. To protect the privacy of individuals, enterprises must follow certain privacy practices, while collecting or processing personal data. In this chapter we look at the setting where an enterprise collects private data on its website,

Bias in employment decisions about mothers and fathers: The (dis)advantages of sharing care responsibilities

NARCIS (Netherlands)

Vinkenburg, C.J.; Van Engen, M.L.; Coffeng, J.; Dikkers, J.S.E.

2012-01-01

Bias against mothers in employment decisions has often been explained by the assumption that mothers are less committed and competent than fathers and nonparents. In a simulated employment context, we studied whether this "motherhood bias" can be attenuated by different ways of dividing care

Privacy policies

NARCIS (Netherlands)

Dekker, M.A.C.; Etalle, S.; Hartog, den J.I.; Petkovic, M.; Jonker, W.

2007-01-01

Privacy is a prime concern in today’s information society. To protect the privacy of individuals, enterprises must follow certain privacy practices while collecting or processing personal data. In this chapter we look at the setting where an enterprise collects private data on its website, processes

Respecting an Individual's Privacy Critical in Making Difficult Journalistic Judgments.

Science.gov (United States)

Adams, Julian

1984-01-01

Discusses the criteria of "newsworthy" regarding news reporting and the right to privacy. Examines the thin line between what is legal and what is ethical to print and some components of the law to consider when making such decisions. (HTH)

76 FR 64115 - Privacy Act of 1974; Privacy Act System of Records

Science.gov (United States)

2011-10-17

... NATIONAL AERONAUTICS AND SPACE ADMINISTRATION [Notice (11-092)] Privacy Act of 1974; Privacy Act... retirement of one Privacy Act system of records notice. SUMMARY: In accordance with the Privacy Act of 1974, NASA is giving notice that it proposes to cancel the following Privacy Act system of records notice...

Employee rights to privacy and access to personnel records: a new look.

Science.gov (United States)

Linowes, D F

1978-01-01

Do employees really enjoy a so-called right to privacy in their employment relationship? To what extent are their rights violated by the pre-employment screening process? These are the questions discussed in this article by David F. Linowes, Boeschenstein Professor of Political Economy and Public Policy and Science at the University of Illinois and recently chairman of the Privacy Protection Study Commission. Citing the availability of data to a prospective employer through credit card companies, banks, insurance companies, mailing lists, health records, and investigative reporting agencies, Professor Linowes makes the point that little is left unknoun when the investigative process is completed. There is no clear line separating what is relevant and what is privileged. The Study Commission's report to Congress suggests guidelines that would insure fairness to all parties.

Genetic privacy.

Science.gov (United States)

Sankar, Pamela

2003-01-01

During the past 10 years, the number of genetic tests performed more than tripled, and public concern about genetic privacy emerged. The majority of states and the U.S. government have passed regulations protecting genetic information. However, research has shown that concerns about genetic privacy are disproportionate to known instances of information misuse. Beliefs in genetic determinacy explain some of the heightened concern about genetic privacy. Discussion of the debate over genetic testing within families illustrates the most recent response to genetic privacy concerns.

Crowdsourcing for Context: Regarding Privacy in Beacon Encounters via Contextual Integrity

Directory of Open Access Journals (Sweden)

Bello-Ogunu Emmanuel

2016-07-01

Full Text Available Research shows that context is important to the privacy perceptions associated with technology. With Bluetooth Low Energy beacons, one of the latest technologies for providing proximity and indoor tracking, the current identifiers that characterize a beacon are not sufficient for ordinary users to make informed privacy decisions about the location information that could be shared. One solution would be to have standardized category and privacy labels, produced by beacon providers or an independent third-party. An alternative solution is to find an approach driven by users, for users. In this paper, we propose a novel crowdsourcing based approach to introduce elements of context in beacon encounters.We demonstrate the effectiveness of this approach through a user study, where participants use a crowd-based mobile app designed to collect beacon category and privacy information as a scavenger hunt game. Results show that our approach was effective in helping users label beacons according to the specific context of a given beacon encounter, as well as the privacy perceptions associated with it. This labeling was done with an accuracy of 92%, and with an acceptance rate of 82% of all recommended crowd labels. Lastly, we conclusively show how crowdsourcing for context can be used towards a user-centric framework for privacy management during beacon encounters.

Conundrums with penumbras: the right to privacy encompasses non-gamete providers who create preembryos with the intent to become parents.

Science.gov (United States)

Dillon, Lainie M C

2003-05-01

To date, five state high courts have resolved disputes over frozen preembryos. These disputes arose during divorce proceedings between couples who had previously used assisted reproduction and cryopreserved excess preembryos. In each case, one spouse wished to have the preembryos destroyed, while the other wanted to be able to use or donate them in the future. The parties in these cases invoked the constitutional right to privacy to argue for dispositional control over the preembryos; two of the five cases were resolved by relying on this right. The constitutional right to privacy protects intimate decisions involving procreation, marriage, and family life. However, when couples use donated sperm or ova to create preembryos, a unique circumstance arises: one spouse--the gamete provider--is genetically related to the preembryos and the other is not. If courts resolve frozen preembryo disputes that involve non-gamete providers based on the constitutional right to privacy, they should find that the constitutional right to privacy encompasses the interests of both gamete and non-gamete providers. Individuals who create preembryos with the intent to become a parent have made an intimate decision involving procreation, marriage, and family life that falls squarely within the the right to privacy. In such cases, the couple together made the decision to create a family through the use of assisted reproduction, and the preembryos would not exist but for that joint decision. Therefore, gamete and non-gamete providers should be afforded equal constitutional protection in disputes over frozen preembryos.

Privacy og selvbeskrivelse

DEFF Research Database (Denmark)

Rosengaard, Hans Ulrik

2015-01-01

En beskrivelse af feltet for forskning i Privacy med særligt henblik på privacys betydning for muligheden for at styre sin egen selvbeskrivelse......En beskrivelse af feltet for forskning i Privacy med særligt henblik på privacys betydning for muligheden for at styre sin egen selvbeskrivelse...

Couldn't or wouldn't? The influence of privacy concerns and self-efficacy in privacy management on privacy protection.

Science.gov (United States)

Chen, Hsuan-Ting; Chen, Wenghong

2015-01-01

Sampling 515 college students, this study investigates how privacy protection, including profile visibility, self-disclosure, and friending, are influenced by privacy concerns and efficacy regarding one's own ability to manage privacy settings, a factor that researchers have yet to give a great deal of attention to in the context of social networking sites (SNSs). The results of this study indicate an inconsistency in adopting strategies to protect privacy, a disconnect from limiting profile visibility and friending to self-disclosure. More specifically, privacy concerns lead SNS users to limit their profile visibility and discourage them from expanding their network. However, they do not constrain self-disclosure. Similarly, while self-efficacy in privacy management encourages SNS users to limit their profile visibility, it facilitates self-disclosure. This suggests that if users are limiting their profile visibility and constraining their friending behaviors, it does not necessarily mean they will reduce self-disclosure on SNSs because these behaviors are predicted by different factors. In addition, the study finds an interaction effect between privacy concerns and self-efficacy in privacy management on friending. It points to the potential problem of increased risk-taking behaviors resulting from high self-efficacy in privacy management and low privacy concerns.

Semantic Security: Privacy Definitions Revisited

OpenAIRE

Jinfei Liu; Li Xiong; Jun Luo

2013-01-01

In this paper we illustrate a privacy framework named Indistinguishabley Privacy. Indistinguishable privacy could be deemed as the formalization of the existing privacy definitions in privacy preserving data publishing as well as secure multi-party computation. We introduce three representative privacy notions in the literature, Bayes-optimal privacy for privacy preserving data publishing, differential privacy for statistical data release, and privacy w.r.t. semi-honest behavior in the secure...

Tales from the dark side: Privacy dark strategies and privacy dark patterns

DEFF Research Database (Denmark)

Bösch, Christoph; Erb, Benjamin; Kargl, Frank

2016-01-01

Privacy strategies and privacy patterns are fundamental concepts of the privacy-by-design engineering approach. While they support a privacy-aware development process for IT systems, the concepts used by malicious, privacy-threatening parties are generally less understood and known. We argue...... that understanding the “dark side”, namely how personal data is abused, is of equal importance. In this paper, we introduce the concept of privacy dark strategies and privacy dark patterns and present a framework that collects, documents, and analyzes such malicious concepts. In addition, we investigate from...... a psychological perspective why privacy dark strategies are effective. The resulting framework allows for a better understanding of these dark concepts, fosters awareness, and supports the development of countermeasures. We aim to contribute to an easier detection and successive removal of such approaches from...

Distributed privacy preserving data collection

KAUST Repository

Xue, Mingqiang

2011-01-01

We study the distributed privacy preserving data collection problem: an untrusted data collector (e.g., a medical research institute) wishes to collect data (e.g., medical records) from a group of respondents (e.g., patients). Each respondent owns a multi-attributed record which contains both non-sensitive (e.g., quasi-identifiers) and sensitive information (e.g., a particular disease), and submits it to the data collector. Assuming T is the table formed by all the respondent data records, we say that the data collection process is privacy preserving if it allows the data collector to obtain a k-anonymized or l-diversified version of T without revealing the original records to the adversary. We propose a distributed data collection protocol that outputs an anonymized table by generalization of quasi-identifier attributes. The protocol employs cryptographic techniques such as homomorphic encryption, private information retrieval and secure multiparty computation to ensure the privacy goal in the process of data collection. Meanwhile, the protocol is designed to leak limited but non-critical information to achieve practicability and efficiency. Experiments show that the utility of the anonymized table derived by our protocol is in par with the utility achieved by traditional anonymization techniques. © 2011 Springer-Verlag.

Privacy at end of life in ICU: A review of the literature.

Science.gov (United States)

Timmins, Fiona; Parissopoulos, Stelios; Plakas, Sotirios; Naughton, Margaret T; de Vries, Jan Ma; Fouka, Georgia

2018-06-01

To explore the issues surrounding privacy during death in ICU. While the provision of ICU care is vital, the nature and effect of the potential lack of privacy during death and dying in ICUs have not been extensively explored. A literature search using CINAHL and Pubmed revealed articles related to privacy, death and dying in ICU. Keywords used in the search were "ICU," "Privacy," "Death" and "Dying." A combination of these terms using Boolean operators "or" or "and" revealed a total of 23 citations. Six papers were ultimately deemed suitable for inclusion in the review and were subjected to code analysis with Atlas.ti v8 QDA software. The analysis of the studies revealed eight themes, and this study presents the three key themes that were found to be recurring and strongly interconnected to the experience of privacy and death in ICU: "Privacy in ICU," "ICU environment" and "End-of-Life Care". Research has shown that patient and family privacy during the ICU hospitalisation and the provision of the circumstances that lead to an environment of privacy during and after death remains a significant challenge for ICU nurses. Family members have little or no privacy in shared room and cramped waiting rooms, while they wish to be better informed and involved in end-of-life decisions. Hence, death and dying for many patients takes place in open and/or shared spaces which is problematic in terms of both the level of privacy and respect that death ought to afford. It is best if end-of-life care in the ICU is planned and coordinated, where possible. Nurses need to become more self-reflective and aware in relation to end-of-life situations in ICU in order to develop privacy practices that are responsive to family and patient needs. © 2018 John Wiley & Sons Ltd.

No Place to Play: Current Employee Privacy Rights in Social Networking Sites

Science.gov (United States)

Genova, Gina L.

2009-01-01

Employers have legitimate business interests in monitoring workplace Internet use: to minimize legal exposure, to increase productivity, and to avoid proprietary information loss. Since employees arguably have no expectation of privacy in their work on employers' computers, there are few grounds for complaint if they are disciplined for straying…

76 FR 53421 - Privacy Act of 1974; System of Records

Science.gov (United States)

2011-08-26

..., Air Force Privacy Act Office, Office of Warfighting Integration and Chief Information Officer, ATTN...: Name, signatures, personal contact information, individual's employer and institutional, organizational..., Historical Products, Services, and Requirements; Air Force Instruction 84-105, Organizational Lineage, Honors...

75 FR 81205 - Privacy Act: Revision of Privacy Act Systems of Records

Science.gov (United States)

2010-12-27

... DEPARTMENT OF AGRICULTURE Office of the Secretary Privacy Act: Revision of Privacy Act Systems of Records AGENCY: Office of the Secretary, USDA. ACTION: Notice to Revise Privacy Act Systems of Records... two Privacy Act Systems of Records entitled ``Information on Persons Disqualified from the...

78 FR 40515 - Privacy Act of 1974; Privacy Act System of Records

Science.gov (United States)

2013-07-05

... NATIONAL AERONAUTICS AND SPACE ADMINISTRATION [Notice 13-071] Privacy Act of 1974; Privacy Act System of Records AGENCY: National Aeronautics and Space Administration (NASA). ACTION: Notice of Privacy Act system of records. SUMMARY: Each Federal agency is required by the Privacy Act of 1974 to publish...

78 FR 77503 - Privacy Act of 1974; Privacy Act System of Records

Science.gov (United States)

2013-12-23

... NATIONAL AERONAUTICS AND SPACE ADMINISTRATION [Notice 13-149] Privacy Act of 1974; Privacy Act... proposed revisions to existing Privacy Act systems of records. SUMMARY: Pursuant to the provisions of the Privacy Act of 1974 (5 U.S.C. 552a), the National Aeronautics and Space Administration is issuing public...

Privacy Preserving Association Rule Mining Revisited: Privacy Enhancement and Resources Efficiency

Science.gov (United States)

Mohaisen, Abedelaziz; Jho, Nam-Su; Hong, Dowon; Nyang, Daehun

Privacy preserving association rule mining algorithms have been designed for discovering the relations between variables in data while maintaining the data privacy. In this article we revise one of the recently introduced schemes for association rule mining using fake transactions (FS). In particular, our analysis shows that the FS scheme has exhaustive storage and high computation requirements for guaranteeing a reasonable level of privacy. We introduce a realistic definition of privacy that benefits from the average case privacy and motivates the study of a weakness in the structure of FS by fake transactions filtering. In order to overcome this problem, we improve the FS scheme by presenting a hybrid scheme that considers both privacy and resources as two concurrent guidelines. Analytical and empirical results show the efficiency and applicability of our proposed scheme.

76 FR 67763 - Privacy Act of 1974; Privacy Act System of Records

Science.gov (United States)

2011-11-02

... NATIONAL AERONAUTICS AND SPACE ADMINISTRATION [Notice (11-109)] Privacy Act of 1974; Privacy Act... proposed revisions to an existing Privacy Act system of records. SUMMARY: Pursuant to the provisions of the Privacy Act of 1974 (5 U.S.C. 552a), the National Aeronautics and Space Administration is issuing public...

76 FR 64114 - Privacy Act of 1974; Privacy Act System of Records

Science.gov (United States)

2011-10-17

... NATIONAL AERONAUTICS AND SPACE ADMINISTRATION [Notice (11-093)] Privacy Act of 1974; Privacy Act... proposed revisions to an existing Privacy Act system of records. SUMMARY: Pursuant to the provisions of the Privacy Act of 1974 (5 U.S.C. 552a), the National Aeronautics and Space Administration is issuing public...

77 FR 69898 - Privacy Act of 1974; Privacy Act System of Records

Science.gov (United States)

2012-11-21

... NATIONAL AERONAUTICS AND SPACE ADMINISTRATION [Notice 12-100] Privacy Act of 1974; Privacy Act... proposed revisions to an existing Privacy Act system of records. SUMMARY: Pursuant to the provisions of the Privacy Act of 1974 (5 U.S.C. 552a), the National Aeronautics and Space Administration is issuing public...

Privacy and Innovation

OpenAIRE

Avi Goldfarb; Catherine Tucker

2011-01-01

Information and communication technology now enables firms to collect detailed and potentially intrusive data about their customers both easily and cheaply. This means that privacy concerns are no longer limited to government surveillance and public figures' private lives. The empirical literature on privacy regulation shows that privacy regulation may affect the extent and direction of data-based innovation. We also show that the impact of privacy regulation can be extremely heterogeneous. T...

Health risk reduction programs in employer-sponsored health plans: Part II-law and ethics.

Science.gov (United States)

Rothstein, Mark A; Harrell, Heather L

2009-08-01

We sought to examine the legal and ethical implications of workplace health risk reduction programs (HRRPs) using health risk assessments, individually focused risk reduction, and financial incentives to promote compliance. We conducted a literature review, analyzed relevant statutes and regulations, and considered the effects of these programs on employee health privacy. A variety of laws regulate HRRPs, and there is little evidence that employer-sponsored HRRPs violate these provisions; infringement on individual health privacy is more difficult to assess. Although current laws permit a wide range of employer health promotion activities, HRRPs also may entail largely unquantifiable costs to employee privacy and related interests.

Health Risk Reduction Programs in Employer-Sponsored Health Plans: Part II—Law and Ethics

Science.gov (United States)

Rothstein, Mark A.; Harrell, Heather L.

2011-01-01

Objective We sought to examine the legal and ethical implications of workplace health risk reduction programs (HRRPs) using health risk assessments, individually focused risk reduction, and financial incentives to promote compliance. Methods We conducted a literature review, analyzed relevant statutes and regulations, and considered the effects of these programs on employee health privacy. Results A variety of laws regulate HRRPs, and there is little evidence that employer-sponsored HRRPs violate these provisions; infringement on individual health privacy is more difficult to assess. Conclusion Although current laws permit a wide range of employer health promotion activities, HRRPs also may entail largely unquantifiable costs to employee privacy and related interests. PMID:19625971

Privacy versus autonomy: a tradeoff model for smart home monitoring technologies.

Science.gov (United States)

Townsend, Daphne; Knoefel, Frank; Goubran, Rafik

2011-01-01

Smart homes are proposed as a new location for the delivery of healthcare services. They provide healthcare monitoring and communication services, by using integrated sensor network technologies. We validate a hypothesis regarding older adults' adoption of home monitoring technologies by conducting a literature review of articles studying older adults' attitudes and perceptions of sensor technologies. Using current literature to support the hypothesis, this paper applies the tradeoff model to decisions about sensor acceptance. Older adults are willing to trade privacy (by accepting a monitoring technology), for autonomy. As the information captured by the sensor becomes more intrusive and the infringement on privacy increases, sensors are accepted if the loss in privacy is traded for autonomy. Even video cameras, the most intrusive sensor type were accepted in exchange for the height of autonomy which is to remain in the home.

Children's Privacy in the Big Data Era: Research Opportunities.

Science.gov (United States)

Montgomery, Kathryn C; Chester, Jeff; Milosevic, Tijana

2017-11-01

This article focuses on the privacy implications of advertising on social media, mobile apps, and games directed at children. Academic research on children's privacy has primarily focused on the safety risks involved in sharing personal information on the Internet, leaving market forces (such as commercial data collection) as a less discussed aspect of children's privacy. Yet, children's privacy in the digital era cannot be fully understood without examining marketing practices, especially in the context of "big data." As children increasingly consume content on an ever-expanding variety of digital devices, media and advertising industries are creating new ways to track their behaviors and target them with personalized content and marketing messages based on individual profiles. The advent of the so-called Internet of Things, with its ubiquitous sensors, is expanding these data collection and profiling practices. These trends raise serious concerns about digital dossiers that could follow young people into adulthood, affecting their access to education, employment, health care, and financial services. Although US privacy law provides some safeguards for children younger than 13 years old online, adolescents are afforded no such protections. Moreover, scholarship on children and privacy continues to lag behind the changes taking place in global media, advertising, and technology. This article proposes collaboration among researchers from a range of fields that will enable cross-disciplinary studies addressing not only the developmental issues related to different age groups but also the design of digital media platforms and the strategies used to influence young people. Copyright © 2017 by the American Academy of Pediatrics.

The Models of Applying Online Privacy Literacy Strategies: A Case Study of Instagram Girl Users

Directory of Open Access Journals (Sweden)

Abdollah Bicharanlou

2017-09-01

Full Text Available Social networks affect remarkably in the lives of virtual space users. These networks like most human relations involve compromising between self-disclosure and privacy protection. A process which is realized through improving privacy and empowering the user at the personal level. This study aimed to assess strategies based on online privacy literacy. In particular, strategies that Instagram young girls users should employ to achieve the optimum level of privacy. For this purpose, firstly the paradox of privacy, benefits and risks of self-disclosure are explained, then according to online privacy literacy, some social and technological strategies are introduced by which users can solve the “paradox of privacy.” In the result section, after describing the main benefits and risks of self-disclosure by girl users, the current models of using these social and technological strategies to solve the mentioned paradox are discussed. The research method is ethnography based on non-collaborative observation of Instagram pages and semi-structured interviews with 20 girl users of social networks.

Gender inequalities in employment, governance and decision-making

Directory of Open Access Journals (Sweden)

Kolin Marija

2010-01-01

Full Text Available In this paper we examine gender differences in the pattern and level of employment, main characteristics of women's employment and their participation in political institutions, public policy and decision-making process. The analysis contains comparative view pointed out on gender differences in Serbia and European Union and assessment of anti-discrimination measures and active integrative approach to gender participation. The quantitative data derived from official gender sensitive statistics from EU and UN institutions, supplemented by qualitative findings of recent surveys. The evidence presented in the paper pointed out unfavorable position of women in the labor market, characterized by low economic activity, limited access to managerial position and prestige wages, high unemployment, poverty and vulnerability. The Serbian labor market is characterized by a downward rate of activity of women and a high unemployment rate, the latter being the crucial factor of unequal position. Activity of women at the labor market amounting to 54.6% in 2006 relative to the total female population of working age is very low. Economic activity of women is considerably beneath that of men which amounts to 72.7% active men as compared to the total male population of working age. Statistics and reports on the structure of the unemployed show that women are more affected by unemployment than men. It is 1.5 times higher than that of men of the same working age. The unemployment rate in Serbia is one of the highest in Europe, ranging from 21% to 30%, depending on the methodology of calculation. The position of unemployed women is determined by poor opportunities to contract full-time employment, low and irregular payment of unemployment benefits, poor chances for prequalification and professional retraining and a high probability of engagement on unpaid jobs at home or jobs in 'gray economy'. In the second part of the article the differences and similarities in

Internet and Privacy

OpenAIRE

Al-Fadhli, Meshal Shehab

2007-01-01

The concept of privacy is hard to understand and is not easy to define, because this concept is linked with several dimensions. Internet Privacy is associated with the use of the Internet and most likely appointed under communications privacy, involving the user of the Internet’s personal information and activities, and the disclosure of them online. This essay is going to present the meaning of privacy and the implications of it for Internet users. Also, this essay will demonstrate some of t...

Trust information-based privacy architecture for ubiquitous health.

Science.gov (United States)

Ruotsalainen, Pekka Sakari; Blobel, Bernd; Seppälä, Antto; Nykänen, Pirkko

2013-10-08

analysis. The architecture mimics the way humans use trust information in decision making, and enables the DS to design system-specific privacy policies using computational trust information that is based on systems' measured features. The trust attributes that were developed describe the level systems for support awareness and transparency, and how they follow general and domain-specific regulations and laws. The monitoring component of the architecture offers dynamic feedback concerning how the system enforces the polices of DS. The privacy management architecture developed in this study enables the DS to dynamically manage information privacy in ubiquitous health and to define individual policies for all systems considering their trust value and corresponding attributes. The DS can also set policies for secondary use and reuse of health information. The architecture offers protection against privacy threats existing in ubiquitous environments. Although the architecture is targeted to ubiquitous health, it can easily be modified to other ubiquitous applications.

76 FR 64112 - Privacy Act of 1974; Privacy Act System of Records Appendices

Science.gov (United States)

2011-10-17

... NATIONAL AERONAUTICS AND SPACE ADMINISTRATION [Notice (11-091)] Privacy Act of 1974; Privacy Act...: Revisions of NASA Appendices to Privacy Act System of Records. SUMMARY: Notice is hereby given that NASA is... Privacy Act of 1974. This notice publishes those amendments as set forth below under the caption...

Privacy encounters in Teledialogue

DEFF Research Database (Denmark)

Andersen, Lars Bo; Bøge, Ask Risom; Danholt, Peter

2017-01-01

Privacy is a major concern when new technologies are introduced between public authorities and private citizens. What is meant by privacy, however, is often unclear and contested. Accordingly, this article utilises grounded theory to study privacy empirically in the research and design project...... Teledialogue aimed at introducing new ways for public case managers and placed children to communicate through IT. The resulting argument is that privacy can be understood as an encounter, that is, as something that arises between implicated actors and entails some degree of friction and negotiation....... An argument which is further qualified through the philosophy of Gilles Deleuze. The article opens with a review of privacy literature before continuing to present privacy as an encounter with five different foci: what technologies bring into the encounter; who is related to privacy by implication; what...

Privacy enhanced group communication in clinical environment

Science.gov (United States)

Li, Mingyan; Narayanan, Sreeram; Poovendran, Radha

2005-04-01

Privacy protection of medical records has always been an important issue and is mandated by the recent Health Insurance Portability and Accountability Act (HIPAA) standards. In this paper, we propose security architectures for a tele-referring system that allows electronic group communication among professionals for better quality treatments, while protecting patient privacy against unauthorized access. Although DICOM defines the much-needed guidelines for confidentiality of medical data during transmission, there is no provision in the existing medical security systems to guarantee patient privacy once the data has been received. In our design, we address this issue by enabling tracing back to the recipient whose received data is disclosed to outsiders, using watermarking technique. We present security architecture design of a tele-referring system using a distributed approach and a centralized web-based approach. The resulting tele-referring system (i) provides confidentiality during the transmission and ensures integrity and authenticity of the received data, (ii) allows tracing of the recipient who has either distributed the data to outsiders or whose system has been compromised, (iii) provides proof of receipt or origin, and (iv) can be easy to use and low-cost to employ in clinical environment.

Pre-employment medical testing in Brazil: ethical challenges.

Science.gov (United States)

Palhares, Dario; Laurentino dos Santos, Ivone

2012-01-01

Pre-employment medical tests, considered to be a practice within the subspecialty of occupational medicine, are ordered by physicians on behalf of employers. Candidates for a job may be rejected if they are found to suffer from a condition that can be worsened by the job, or one that may put other workers at risk. As the physician who orders pre-employment tests is chosen by the employer, pre-employment tests can violate both the autonomy and the privacy of the individual. This paper discusses ethical conflicts inherent in pre-employment medical testing.

Trajectory data privacy protection based on differential privacy mechanism

Science.gov (United States)

Gu, Ke; Yang, Lihao; Liu, Yongzhi; Liao, Niandong

2018-05-01

In this paper, we propose a trajectory data privacy protection scheme based on differential privacy mechanism. In the proposed scheme, the algorithm first selects the protected points from the user’s trajectory data; secondly, the algorithm forms the polygon according to the protected points and the adjacent and high frequent accessed points that are selected from the accessing point database, then the algorithm calculates the polygon centroids; finally, the noises are added to the polygon centroids by the differential privacy method, and the polygon centroids replace the protected points, and then the algorithm constructs and issues the new trajectory data. The experiments show that the running time of the proposed algorithms is fast, the privacy protection of the scheme is effective and the data usability of the scheme is higher.

Practical Privacy Assessment

DEFF Research Database (Denmark)

Peen, Søren; Jansen, Thejs Willem; Jensen, Christian D.

2008-01-01

This chapter proposes a privacy assessment model called the Operational Privacy Assessment Model that includes organizational, operational and technical factors for the protection of personal data stored in an IT system. The factors can be evaluated in a simple scale so that not only the resulting...... graphical depiction can be easily created for an IT system, but graphical comparisons across multiple IT systems are also possible. Examples of factors presented in a Kiviat graph are also presented. This assessment tool may be used to standardize privacy assessment criteria, making it less painful...... for the management to assess privacy risks on their systems....

Genetic privacy and confidentiality: why they are so hard to protect.

Science.gov (United States)

Rothstein, M A

1998-01-01

Author notes that widespread concerns have been raised about protecting genetic privacy and confidentiality in insurance and employment. He argues that effective protections are difficult because complicated issues, such as the right of access to health care, are invariably implicated.

A privacy protection for an mHealth messaging system

Science.gov (United States)

Aaleswara, Lakshmipathi; Akopian, David; Chronopoulos, Anthony T.

2015-03-01

In this paper, we propose a new software system that employs features that help the organization to comply with USA HIPAA regulations. The system uses SMS as the primary way of communication to transfer information. Lack of knowledge about some diseases is still a major reason for some harmful diseases spreading. The developed system includes different features that may help to communicate amongst low income people who don't even have access to the internet. Since the software system deals with Personal Health Information (PHI) it is equipped with an access control authentication system mechanism to protect privacy. The system is analyzed for performance to identify how much overhead the privacy rules impose.

Disclosing genetic information to at-risk relatives: new Australian privacy principles, but uniformity still elusive.

Science.gov (United States)

Otlowski, Margaret F A

2015-04-06

There is growing understanding of the need for genetic information to be shared with genetic relatives in some circumstances. Since 2006, s 95AA of the Privacy Act 1988 (Cwlth) has permitted the disclosure of genetic information to genetic relatives without the patient's consent, provided that the health practitioner reasonably believes that disclosure is necessary to lessen or prevent a serious threat to the life, health or safety of the genetic relatives. Enabling guidelines were introduced in 2009. These were limited to the private sector, and excluded doctors working in the public sector at both Commonwealth and state and territory levels. Privacy legislation was amended in March 2014, and new Australian Privacy Principles, which replace the National Privacy Principles and Information Privacy Principles, now cover the collection and use of personal information. The Privacy Act and the Australian Privacy Principles now extend to practitioners employed by the Commonwealth but not to health practitioners working in state and territory public hospitals. In this article, I review these legislative developments and highlight the implications of the lack of uniformity and the consequent need for a collaborative, uniform approach by states and territories.

Governance Through Privacy, Fairness, and Respect for Individuals.

Science.gov (United States)

Baker, Dixie B; Kaye, Jane; Terry, Sharon F

2016-01-01

Individuals have a moral claim to be involved in the governance of their personal data. Individuals' rights include privacy, autonomy, and the ability to choose for themselves how they want to manage risk, consistent with their own personal values and life situations. The Fair Information Practices principles (FIPPs) offer a framework for governance. Privacy-enhancing technology that complies with applicable law and FIPPs offers a dynamic governance tool for enabling the fair and open use of individual's personal data. Any governance model must protect against the risks posed by data misuse. Individual perceptions of risks are a subjective function involving individuals' values toward self, family, and society, their perceptions of trust, and their cognitive decision-making skills. Individual privacy protections and individuals' right to choose are codified in the HIPAA Privacy Rule, which attempts to strike a balance between the dual goals of information flow and privacy protection. The choices most commonly given individuals regarding the use of their health information are binary ("yes" or "no") and immutable. Recent federal recommendations and law recognize the need for granular, dynamic choices. Individuals expect that they will govern the use of their own health and genomic data. Failure to build and maintain individuals' trust increases the likelihood that they will refuse to grant permission to access or use their data. The "no surprises principle" asserts that an individual's personal information should never be collected, used, transmitted, or disclosed in a way that would surprise the individual were she to learn about it. The FIPPs provide a powerful framework for enabling data sharing and use, while maintaining trust. We introduce the eight FIPPs adopted by the Department of Health and Human Services, and provide examples of their interpretation and implementation. Privacy risk and health risk can be reduced by giving consumers control, autonomy, and

Neuroethics and Brain Privacy

DEFF Research Database (Denmark)

Ryberg, Jesper

2017-01-01

An introduction is presented in which editor discusses various articles within the issue on topics including ethical challenges with importance of privacy for well-being, impact of brain-reading on mind privacy and neurotechnology.......An introduction is presented in which editor discusses various articles within the issue on topics including ethical challenges with importance of privacy for well-being, impact of brain-reading on mind privacy and neurotechnology....

Context-Aware Generative Adversarial Privacy

Directory of Open Access Journals (Sweden)

Chong Huang

2017-12-01

Full Text Available Preserving the utility of published datasets while simultaneously providing provable privacy guarantees is a well-known challenge. On the one hand, context-free privacy solutions, such as differential privacy, provide strong privacy guarantees, but often lead to a significant reduction in utility. On the other hand, context-aware privacy solutions, such as information theoretic privacy, achieve an improved privacy-utility tradeoff, but assume that the data holder has access to dataset statistics. We circumvent these limitations by introducing a novel context-aware privacy framework called generative adversarial privacy (GAP. GAP leverages recent advancements in generative adversarial networks (GANs to allow the data holder to learn privatization schemes from the dataset itself. Under GAP, learning the privacy mechanism is formulated as a constrained minimax game between two players: a privatizer that sanitizes the dataset in a way that limits the risk of inference attacks on the individuals’ private variables, and an adversary that tries to infer the private variables from the sanitized dataset. To evaluate GAP’s performance, we investigate two simple (yet canonical statistical dataset models: (a the binary data model; and (b the binary Gaussian mixture model. For both models, we derive game-theoretically optimal minimax privacy mechanisms, and show that the privacy mechanisms learned from data (in a generative adversarial fashion match the theoretically optimal ones. This demonstrates that our framework can be easily applied in practice, even in the absence of dataset statistics.

Context-Aware Generative Adversarial Privacy

Science.gov (United States)

Huang, Chong; Kairouz, Peter; Chen, Xiao; Sankar, Lalitha; Rajagopal, Ram

2017-12-01

Preserving the utility of published datasets while simultaneously providing provable privacy guarantees is a well-known challenge. On the one hand, context-free privacy solutions, such as differential privacy, provide strong privacy guarantees, but often lead to a significant reduction in utility. On the other hand, context-aware privacy solutions, such as information theoretic privacy, achieve an improved privacy-utility tradeoff, but assume that the data holder has access to dataset statistics. We circumvent these limitations by introducing a novel context-aware privacy framework called generative adversarial privacy (GAP). GAP leverages recent advancements in generative adversarial networks (GANs) to allow the data holder to learn privatization schemes from the dataset itself. Under GAP, learning the privacy mechanism is formulated as a constrained minimax game between two players: a privatizer that sanitizes the dataset in a way that limits the risk of inference attacks on the individuals' private variables, and an adversary that tries to infer the private variables from the sanitized dataset. To evaluate GAP's performance, we investigate two simple (yet canonical) statistical dataset models: (a) the binary data model, and (b) the binary Gaussian mixture model. For both models, we derive game-theoretically optimal minimax privacy mechanisms, and show that the privacy mechanisms learned from data (in a generative adversarial fashion) match the theoretically optimal ones. This demonstrates that our framework can be easily applied in practice, even in the absence of dataset statistics.

Protecting genetic privacy.

Science.gov (United States)

Roche, P A; Annas, G J

2001-05-01

This article outlines the arguments for and against new rules to protect genetic privacy. We explain why genetic information is different to other sensitive medical information, why researchers and biotechnology companies have opposed new rules to protect genetic privacy (and favour anti-discrimination laws instead), and discuss what can be done to protect privacy in relation to genetic-sequence information and to DNA samples themselves.

78 FR 69393 - Privacy Act of 1974; System of Records

Science.gov (United States)

2013-11-19

... Liberties Web site at http://dpclo.defense.gov/privacy/SORNs/component/ngia/index.html . The proposed system... the system: Current and former NGA employees, military personnel, contractors, employed by or assigned... certify, verify, or state) under penalty of perjury under the laws of the United States of America that...

Privacy-Enhanced and Multifunctional Health Data Aggregation under Differential Privacy Guarantees.

Science.gov (United States)

Ren, Hao; Li, Hongwei; Liang, Xiaohui; He, Shibo; Dai, Yuanshun; Zhao, Lian

2016-09-10

With the rapid growth of the health data scale, the limited storage and computation resources of wireless body area sensor networks (WBANs) is becoming a barrier to their development. Therefore, outsourcing the encrypted health data to the cloud has been an appealing strategy. However, date aggregation will become difficult. Some recently-proposed schemes try to address this problem. However, there are still some functions and privacy issues that are not discussed. In this paper, we propose a privacy-enhanced and multifunctional health data aggregation scheme (PMHA-DP) under differential privacy. Specifically, we achieve a new aggregation function, weighted average (WAAS), and design a privacy-enhanced aggregation scheme (PAAS) to protect the aggregated data from cloud servers. Besides, a histogram aggregation scheme with high accuracy is proposed. PMHA-DP supports fault tolerance while preserving data privacy. The performance evaluation shows that the proposal leads to less communication overhead than the existing one.

Privacy Verification Using Ontologies

NARCIS (Netherlands)

Kost, Martin; Freytag, Johann-Christoph; Kargl, Frank; Kung, Antonio

2011-01-01

As information systems extensively exchange information between participants, privacy concerns may arise from its potential misuse. A Privacy by Design (PbD) approach considers privacy requirements of different stakeholders during the design and the implementation of a system. Currently, a

Identity management and privacy languages technologies: Improving user control of data privacy

Science.gov (United States)

García, José Enrique López; García, Carlos Alberto Gil; Pacheco, Álvaro Armenteros; Organero, Pedro Luis Muñoz

The identity management solutions have the capability to bring confidence to internet services, but this confidence could be improved if user has more control over the privacy policy of its attributes. Privacy languages could help to this task due to its capability to define privacy policies for data in a very flexible way. So, an integration problem arises: making work together both identity management and privacy languages. Despite several proposals for accomplishing this have already been defined, this paper suggests some topics and improvements that could be considered.

Privacy and internet services

OpenAIRE

Samec, Marek

2010-01-01

This thesis is focused on internet services user privacy. Goal of this thesis is to determine level of user awareness of how is their privacy approached while using internet services. Then suggest procedure to improve this awareness, or that will lead to better control of individual privacy. In theoretical part I analyze general and legislative approach to privacy, followed by analysis of behaviour of internet service users and providers. Part of this analysis deals with usage of web cookies ...

Gender and online privacy among teens: risk perception, privacy concerns, and protection behaviors.

Science.gov (United States)

Youn, Seounmi; Hall, Kimberly

2008-12-01

Survey data from 395 high school students revealed that girls perceive more privacy risks and have a higher level of privacy concerns than boys. Regarding privacy protection behaviors, boys tended to read unsolicited e-mail and register for Web sites while directly sending complaints in response to unsolicited e-mail. This study found girls to provide inaccurate information as their privacy concerns increased. Boys, however, refrained from registering to Web sites as their concerns increased.

A Privacy-Preserving Incentive Mechanism for Participatory Sensing Systems

Directory of Open Access Journals (Sweden)

Xiaoguang Niu

2018-01-01

Full Text Available The proliferation of mobile devices has facilitated the prevalence of participatory sensing applications in which participants collect and share information in their environments. The design of a participatory sensing application confronts two challenges: “privacy” and “incentive” which are two conflicting objectives and deserve deeper attention. Inspired by physical currency circulation system, this paper introduces the notion of E-cent, an exchangeable unit bearer currency. Participants can use the E-cent to take part in tasks anonymously. By employing E-cent, we propose an E-cent-based privacy-preserving incentive mechanism, called EPPI. As a dynamic balance regulatory mechanism, EPPI can not only protect the privacy of participant, but also adjust the whole system to the ideal situation, under which the rated tasks can be finished at minimal cost. To the best of our knowledge, EPPI is the first attempt to build an incentive mechanism while maintaining the desired privacy in participatory sensing systems. Extensive simulation and analysis results show that EPPI can achieve high anonymity level and remarkable incentive effects.

Privacy-Enhanced and Multifunctional Health Data Aggregation under Differential Privacy Guarantees

Science.gov (United States)

Ren, Hao; Li, Hongwei; Liang, Xiaohui; He, Shibo; Dai, Yuanshun; Zhao, Lian

2016-01-01

With the rapid growth of the health data scale, the limited storage and computation resources of wireless body area sensor networks (WBANs) is becoming a barrier to their development. Therefore, outsourcing the encrypted health data to the cloud has been an appealing strategy. However, date aggregation will become difficult. Some recently-proposed schemes try to address this problem. However, there are still some functions and privacy issues that are not discussed. In this paper, we propose a privacy-enhanced and multifunctional health data aggregation scheme (PMHA-DP) under differential privacy. Specifically, we achieve a new aggregation function, weighted average (WAAS), and design a privacy-enhanced aggregation scheme (PAAS) to protect the aggregated data from cloud servers. Besides, a histogram aggregation scheme with high accuracy is proposed. PMHA-DP supports fault tolerance while preserving data privacy. The performance evaluation shows that the proposal leads to less communication overhead than the existing one. PMID:27626417

48 CFR 39.105 - Privacy.

Science.gov (United States)

2010-10-01

... 48 Federal Acquisition Regulations System 1 2010-10-01 2010-10-01 false Privacy. 39.105 Section 39... CONTRACTING ACQUISITION OF INFORMATION TECHNOLOGY General 39.105 Privacy. Agencies shall ensure that contracts for information technology address protection of privacy in accordance with the Privacy Act (5 U.S.C...

Privacy in domestic environments

OpenAIRE

Radics, Peter J; Gracanin, Denis

2011-01-01

non-peer-reviewed While there is a growing body of research on privacy,most of the work puts the focus on information privacy. Physical and psychological privacy issues receive little to no attention. However, the introduction of technology into our lives can cause problems with regard to these aspects of privacy. This is especially true when it comes to our homes, both as nodes of our social life and places for relaxation. This paper presents the results of a study intended to captu...

Privacy Implications for Information and Communications Technology (ICT): the Case of the Jordanian E-Government

OpenAIRE

Almatarneh, Akram

2011-01-01

Information and Communications Technology (ICT) is one of the fastest growing sectors in Jordan. The importance of ICT cannot be ignored as it affects all aspects of Jordanian society including telecommunications, education, banking, commerce and employment. However, the issue of individual privacy in this sector is a particular challenge as individuals are disclosing large amounts of personal information than ever at a time when there are no specific privacy laws or regulations. This paper i...

Privacy is an essentially contested concept: a multi-dimensional analytic for mapping privacy

Science.gov (United States)

Koopman, Colin; Doty, Nick

2016-01-01

The meaning of privacy has been much disputed throughout its history in response to wave after wave of new technological capabilities and social configurations. The current round of disputes over privacy fuelled by data science has been a cause of despair for many commentators and a death knell for privacy itself for others. We argue that privacy’s disputes are neither an accidental feature of the concept nor a lamentable condition of its applicability. Privacy is essentially contested. Because it is, privacy is transformable according to changing technological and social conditions. To make productive use of privacy’s essential contestability, we argue for a new approach to privacy research and practical design, focused on the development of conceptual analytics that facilitate dissecting privacy’s multiple uses across multiple contexts. This article is part of the themed issue ‘The ethical impact of data science’. PMID:28336797

Towards Territorial Privacy in Smart Environments

NARCIS (Netherlands)

Könings, Bastian; Schaub, Florian; Weber, M.; Kargl, Frank

Territorial privacy is an old concept for privacy of the personal space dating back to the 19th century. Despite its former relevance, territorial privacy has been neglected in recent years, while privacy research and legislation mainly focused on the issue of information privacy. However, with the

Privacy and Library Records

Science.gov (United States)

Bowers, Stacey L.

2006-01-01

This paper summarizes the history of privacy as it relates to library records. It commences with a discussion of how the concept of privacy first originated through case law and follows the concept of privacy as it has affected library records through current day and the "USA PATRIOT Act."

Data privacy for the smart grid

CERN Document Server

Herold, Rebecca

2015-01-01

The Smart Grid and PrivacyWhat Is the Smart Grid? Changes from Traditional Energy Delivery Smart Grid Possibilities Business Model Transformations Emerging Privacy Risks The Need for Privacy PoliciesPrivacy Laws, Regulations, and Standards Privacy-Enhancing Technologies New Privacy Challenges IOT Big Data What Is the Smart Grid?Market and Regulatory OverviewTraditional Electricity Business SectorThe Electricity Open Market Classifications of Utilities Rate-Making ProcessesElectricity Consumer

Designing Privacy-by-Design

NARCIS (Netherlands)

Rest, J.H.C. van; Boonstra, D.; Everts, M.H.; Rijn, M. van; Paassen, R.J.G. van

2014-01-01

The proposal for a new privacy regulation d.d. January 25th 2012 introduces sanctions of up to 2% of the annual turnover of enterprises. This elevates the importance of mitigation of privacy risks. This paper makes Privacy by Design more concrete, and positions it as the mechanism to mitigate these

When Differential Privacy Meets Randomized Perturbation: A Hybrid Approach for Privacy-Preserving Recommender System

KAUST Repository

Liu, Xiao; Liu, An; Zhang, Xiangliang; Li, Zhixu; Liu, Guanfeng; Zhao, Lei; Zhou, Xiaofang

2017-01-01

result. However, none is designed for both hiding users’ private data and preventing privacy inference. To achieve this goal, we propose in this paper a hybrid approach for privacy-preserving recommender systems by combining differential privacy (DP

Privacy information management for video surveillance

Science.gov (United States)

Luo, Ying; Cheung, Sen-ching S.

2013-05-01

The widespread deployment of surveillance cameras has raised serious privacy concerns. Many privacy-enhancing schemes have been proposed to automatically redact images of trusted individuals in the surveillance video. To identify these individuals for protection, the most reliable approach is to use biometric signals such as iris patterns as they are immutable and highly discriminative. In this paper, we propose a privacy data management system to be used in a privacy-aware video surveillance system. The privacy status of a subject is anonymously determined based on her iris pattern. For a trusted subject, the surveillance video is redacted and the original imagery is considered to be the privacy information. Our proposed system allows a subject to access her privacy information via the same biometric signal for privacy status determination. Two secure protocols, one for privacy information encryption and the other for privacy information retrieval are proposed. Error control coding is used to cope with the variability in iris patterns and efficient implementation is achieved using surrogate data records. Experimental results on a public iris biometric database demonstrate the validity of our framework.

Technical Privacy Metrics: a Systematic Survey

OpenAIRE

Wagner, Isabel; Eckhoff, David

2018-01-01

The file attached to this record is the author's final peer reviewed version The goal of privacy metrics is to measure the degree of privacy enjoyed by users in a system and the amount of protection offered by privacy-enhancing technologies. In this way, privacy metrics contribute to improving user privacy in the digital world. The diversity and complexity of privacy metrics in the literature makes an informed choice of metrics challenging. As a result, instead of using existing metrics, n...

Advanced research in data privacy

CERN Document Server

Torra, Vicenç

2015-01-01

This book provides an overview of the research work on data privacy and privacy enhancing technologies carried by the participants of the ARES project. ARES (Advanced Research in Privacy an Security, CSD2007-00004) has been one of the most important research projects funded by the Spanish Government in the fields of computer security and privacy. It is part of the now extinct CONSOLIDER INGENIO 2010 program, a highly competitive program which aimed to advance knowledge and open new research lines among top Spanish research groups. The project started in 2007 and will finish this 2014. Composed by 6 research groups from 6 different institutions, it has gathered an important number of researchers during its lifetime. Among the work produced by the ARES project, one specific work package has been related to privacy. This books gathers works produced by members of the project related to data privacy and privacy enhancing technologies. The presented works not only summarize important research carried in the proje...

A privacy protection model to support personal privacy in relational databases.

OpenAIRE

2008-01-01

The individual of today incessantly insists on more protection of his/her personal privacy than a few years ago. During the last few years, rapid technological advances, especially in the field of information technology, directed most attention and energy to the privacy protection of the Internet user. Research was done and is still being done covering a vast area to protect the privacy of transactions performed on the Internet. However, it was established that almost no research has been don...

Internet privacy options for adequate realisation

CERN Document Server

2013-01-01

A thorough multidisciplinary analysis of various perspectives on internet privacy was published as the first volume of a study, revealing the results of the achatech project "Internet Privacy - A Culture of Privacy and Trust on the Internet." The second publication from this project presents integrated, interdisciplinary options for improving privacy on the Internet utilising a normative, value-oriented approach. The ways in which privacy promotes and preconditions fundamental societal values and how privacy violations endanger the flourishing of said values are exemplified. The conditions which must be fulfilled in order to achieve a culture of privacy and trust on the internet are illuminated. This volume presents options for policy-makers, educators, businesses and technology experts how to facilitate solutions for more privacy on the Internet and identifies further research requirements in this area.

Cognitive Privacy for Personal Clouds

Directory of Open Access Journals (Sweden)

Milena Radenkovic

2016-01-01

Full Text Available This paper proposes a novel Cognitive Privacy (CogPriv framework that improves privacy of data sharing between Personal Clouds for different application types and across heterogeneous networks. Depending on the behaviour of neighbouring network nodes, their estimated privacy levels, resource availability, and social network connectivity, each Personal Cloud may decide to use different transmission network for different types of data and privacy requirements. CogPriv is fully distributed, uses complex graph contacts analytics and multiple implicit novel heuristics, and combines these with smart probing to identify presence and behaviour of privacy compromising nodes in the network. Based on sensed local context and through cooperation with remote nodes in the network, CogPriv is able to transparently and on-the-fly change the network in order to avoid transmissions when privacy may be compromised. We show that CogPriv achieves higher end-to-end privacy levels compared to both noncognitive cellular network communication and state-of-the-art strategies based on privacy-aware adaptive social mobile networks routing for a range of experiment scenarios based on real-world user and network traces. CogPriv is able to adapt to varying network connectivity and maintain high quality of service while managing to keep low data exposure for a wide range of privacy leakage levels in the infrastructure.

Discrimination and Privacy in the Information Society Data Mining and Profiling in Large Databases

CERN Document Server

Calders, Toon; Schermer, Bart; Zarsky, Tal

2013-01-01

Vast amounts of data are nowadays collected, stored and processed, in an effort to assist in  making a variety of administrative and governmental decisions. These innovative steps considerably improve the speed, effectiveness and quality of decisions. Analyses are increasingly performed by data mining and profiling technologies that statistically and automatically determine patterns and trends. However, when such practices lead to unwanted or unjustified selections, they may result in unacceptable forms of  discrimination. Processing vast amounts of data may lead to situations in which data controllers know many of the characteristics, behaviors and whereabouts of people. In some cases, analysts might know more about individuals than these individuals know about themselves. Judging people by their digital identities sheds a different light on our views of privacy and data protection. This book discusses discrimination and privacy issues related to data mining and profiling practices. It provides technologic...

Cybersecurity and Privacy

DEFF Research Database (Denmark)

he huge potential in future connected services has as a precondition that privacy and security needs are dealt with in order for new services to be accepted. This issue is increasingly on the agenda both at the company and at individual level. Cybersecurity and Privacy – bridging the gap addresses...... two very complex fields of the digital world, i.e., Cybersecurity and Privacy. These multifaceted, multidisciplinary and complex issues are usually understood and valued differently by different individuals, data holders and legal bodies. But a change in one field immediately affects the others....... Policies, frameworks, strategies, laws, tools, techniques, and technologies – all of these are tightly interwoven when it comes to security and privacy. This book is another attempt to bridge the gap between the industry and academia. The book addresses the views from academia and industry on the subject...

Privacy for Sale?

DEFF Research Database (Denmark)

Sørensen, Lene Tolstrup; Sørensen, Jannick Kirk; Khajuria, Samant

Data brokers have become central players in the collection online of private user data. Data brokers’ activities are however not very transparent or even known by users. Many users regard privacy a central element when they use online services. Based on 12 short interviews with users, this paper...... analyses how users perceive the concept of online privacy in respect to data brokers col- lection of private data, and particularly novel services that offer users the possi- bility to sell their private data. Two groups of users are identified: Those who are considering selling their data under specific...... conditions, and those who reject the idea completely. Based on the literature we identify two positions to privacy either as an instrumental good, or as an intrinsic good. The paper positions vari- ous user perceptions on privacy that are relevant for future service develop- ment....

Location Privacy for Mobile Crowd Sensing through Population Mapping.

Science.gov (United States)

Shin, Minho; Cornelius, Cory; Kapadia, Apu; Triandopoulos, Nikos; Kotz, David

2015-06-29

Opportunistic sensing allows applications to "task" mobile devices to measure context in a target region. For example, one could leverage sensor-equipped vehicles to measure traffic or pollution levels on a particular street or users' mobile phones to locate (Bluetooth-enabled) objects in their vicinity. In most proposed applications, context reports include the time and location of the event, putting the privacy of users at increased risk: even if identifying information has been removed from a report, the accompanying time and location can reveal sufficient information to de-anonymize the user whose device sent the report. We propose and evaluate a novel spatiotemporal blurring mechanism based on tessellation and clustering to protect users' privacy against the system while reporting context. Our technique employs a notion of probabilistic k-anonymity; it allows users to perform local blurring of reports efficiently without an online anonymization server before the data are sent to the system. The proposed scheme can control the degree of certainty in location privacy and the quality of reports through a system parameter. We outline the architecture and security properties of our approach and evaluate our tessellation and clustering algorithm against real mobility traces.

Location Privacy for Mobile Crowd Sensing through Population Mapping

Directory of Open Access Journals (Sweden)

Minho Shin

2015-06-01

Full Text Available Opportunistic sensing allows applications to “task” mobile devices to measure context in a target region. For example, one could leverage sensor-equipped vehicles to measure traffic or pollution levels on a particular street or users’ mobile phones to locate (Bluetooth-enabled objects in their vicinity. In most proposed applications, context reports include the time and location of the event, putting the privacy of users at increased risk: even if identifying information has been removed from a report, the accompanying time and location can reveal sufficient information to de-anonymize the user whose device sent the report. We propose and evaluate a novel spatiotemporal blurring mechanism based on tessellation and clustering to protect users’ privacy against the system while reporting context. Our technique employs a notion of probabilistic k-anonymity; it allows users to perform local blurring of reports efficiently without an online anonymization server before the data are sent to the system. The proposed scheme can control the degree of certainty in location privacy and the quality of reports through a system parameter. We outline the architecture and security properties of our approach and evaluate our tessellation and clustering algorithm against real mobility traces.

Location Privacy in RFID Applications

Science.gov (United States)

Sadeghi, Ahmad-Reza; Visconti, Ivan; Wachsmann, Christian

RFID-enabled systems allow fully automatic wireless identification of objects and are rapidly becoming a pervasive technology with various applications. However, despite their benefits, RFID-based systems also pose challenging risks, in particular concerning user privacy. Indeed, improvident use of RFID can disclose sensitive information about users and their locations allowing detailed user profiles. Hence, it is crucial to identify and to enforce appropriate security and privacy requirements of RFID applications (that are also compliant to legislation). This chapter first discusses security and privacy requirements for RFID-enabled systems, focusing in particular on location privacy issues. Then it explores the advances in RFID applications, stressing the security and privacy shortcomings of existing proposals. Finally, it presents new promising directions for privacy-preserving RFID systems, where as a case study we focus electronic tickets (e-tickets) for public transportation.

Privacy and Data-Based Research

OpenAIRE

Ori Heffetz; Katrina Ligett

2013-01-01

What can we, as users of microdata, formally guarantee to the individuals (or firms) in our dataset, regarding their privacy? We retell a few stories, well-known in data-privacy circles, of failed anonymization attempts in publicly released datasets. We then provide a mostly informal introduction to several ideas from the literature on differential privacy, an active literature in computer science that studies formal approaches to preserving the privacy of individuals in statistical databases...

76 FR 59073 - Privacy Act

Science.gov (United States)

2011-09-23

... CENTRAL INTELLIGENCE AGENCY 32 CFR Part 1901 Privacy Act AGENCY: Central Intelligence Agency. ACTION: Proposed rule. SUMMARY: Consistent with the Privacy Act (PA), the Central Intelligence Agency...-1379. SUPPLEMENTARY INFORMATION: Consistent with the Privacy Act (PA), the CIA has undertaken and...

Employment of security personnel

International Nuclear Information System (INIS)

Anon.

1990-01-01

If a company or institution hires personnel of a security service company to protect its premises, this kind of employment does not mean the company carries on temporary employment business. Within the purview of section 99, sub-section 1 of the BetrVG (Works Constitution Act), the security service personnel is not 'employed' in the proper sense even if the security tasks fulfilled by them are done at other times by regular employees of the company or institution. The court decision also decided that the Works Council need not give consent to employment of foreign security personnel. The court decision was taken for settlement of court proceedings commenced by Institute of Plasma Physics in Garching. In his comments, W. Hunold accedes to the court's decision and discusses the underlying reasons of this decision and of a previous ruling in the same matter by putting emphasis on the difference between a contract for services and a contract for work, and a contract for temporary employment. The author also discusses the basic features of an employment contract. (orig./HP) [de

A new privacy preserving technique for cloud service user endorsement using multi-agents

Directory of Open Access Journals (Sweden)

D. Chandramohan

2016-01-01

Full Text Available In data analysis the present focus on storage services are leveraged to attain its crucial part while user data get compromised. In the recent years service user’s valuable information has been utilized by unauthorized users and service providers. This paper examines the privacy awareness and importance of user’s secrecy preserving in the current cloud computing era. Gradually the information kept under the cloud environment gets increased due to its elasticity and availability. However, highly sensitive information is in a serious attack from various sources. Once private information gets misused, the probability of privacy breaching increases which thereby reduces user’s trust on cloud providers. In the modern internet world, information management and maintenance is one among the most decisive tasks. Information stored in the cloud by the finance, healthcare, government sectors, etc. makes it all the more challenging since such tasks are to be handled globally. The present scenario therefore demands a new Petri-net Privacy Preserving Framework (PPPF for safeguarding user’s privacy and, providing consistent and breach-less services from the cloud. This paper illustrates the design of PPPF and mitigates the cloud provider’s trust among users. The proposed technique conveys and collaborates with Privacy Preserving Cohesion Technique (PPCT, to develop validate, promote, adapt and also increase the need for data privacy. Moreover, this paper focuses on clinching and verification of unknown user intervention into the confidential data present in storage area and ensuring the performance of the cloud services. It also acts as an information preserving guard for high secrecy data storage areas.

The differing privacy concerns regarding exchanging electronic medical records of internet users in Taiwan.

Science.gov (United States)

Hwang, Hsin-Ginn; Han, Hwai-En; Kuo, Kuang-Ming; Liu, Chung-Feng

2012-12-01

This study explores whether Internet users have different privacy concerns regarding the information contained in electronic medical records (EMRs) according to gender, age, occupation, education, and EMR awareness. Based on the Concern for Information Privacy (CFIP) scale developed by Smith and colleagues in 1996, we conducted an online survey using 15 items in four dimensions, namely, collection, unauthorized access, secondary use, and errors, to investigate Internet users' concerns regarding the privacy of EMRs under health information exchanges (HIE). We retrieved 213 valid questionnaires. The results indicate that the respondents had substantial privacy concerns regarding EMRs and their educational level and EMR awareness significantly influenced their privacy concerns regarding unauthorized access and secondary use of EMRs. This study recommends that the Taiwanese government organizes a comprehensive EMR awareness campaign, emphasizing unauthorized access and secondary use of EMRs. Additionally, to cultivate the public's understanding of EMRs, the government should employ various media, especially Internet channels, to promote EMR awareness, thereby enabling the public to accept the concept and use of EMRs. People who are highly educated and have superior EMR awareness should be given a comprehensive explanation of how hospitals protect patients' EMRs from unauthorized access and secondary use to address their concerns. Thus, the public can comprehend, trust, and accept the use of EMRs, reducing their privacy concerns, which should facilitate the future implementation of HIE.

Protecting patron privacy

CERN Document Server

Beckstrom, Matthew

2015-01-01

In a world where almost anyone with computer savvy can hack, track, and record the online activities of others, your library can serve as a protected haven for your visitors who rely on the Internet to conduct research-if you take the necessary steps to safeguard their privacy. This book shows you how to protect patrons' privacy while using the technology that your library provides, including public computers, Internet access, wireless networks, and other devices. Logically organized into two major sections, the first part of the book discusses why the privacy of your users is of paramount

Bridging the transatlantic divide in privacy

Directory of Open Access Journals (Sweden)

Paula Kift

2013-08-01

Full Text Available In the context of the US National Security Agency surveillance scandal, the transatlantic privacy divide has come back to the fore. In the United States, the right to privacy is primarily understood as a right to physical privacy, thus the protection from unwarranted government searches and seizures. In Germany on the other hand, it is also understood as a right to spiritual privacy, thus the right of citizens to develop into autonomous moral agents. The following article will discuss the different constitutional assumptions that underlie American and German attitudes towards privacy, namely privacy as an aspect of liberty or as an aspect of dignity. As data flows defy jurisdictional boundaries, however, policymakers across the Atlantic are faced with a conundrum: how can German and American privacy cultures be reconciled?

Toward Privacy-Preserving Personalized Recommendation Services

Directory of Open Access Journals (Sweden)

Cong Wang

2018-02-01

Full Text Available Recommendation systems are crucially important for the delivery of personalized services to users. With personalized recommendation services, users can enjoy a variety of targeted recommendations such as movies, books, ads, restaurants, and more. In addition, personalized recommendation services have become extremely effective revenue drivers for online business. Despite the great benefits, deploying personalized recommendation services typically requires the collection of users’ personal data for processing and analytics, which undesirably makes users susceptible to serious privacy violation issues. Therefore, it is of paramount importance to develop practical privacy-preserving techniques to maintain the intelligence of personalized recommendation services while respecting user privacy. In this paper, we provide a comprehensive survey of the literature related to personalized recommendation services with privacy protection. We present the general architecture of personalized recommendation systems, the privacy issues therein, and existing works that focus on privacy-preserving personalized recommendation services. We classify the existing works according to their underlying techniques for personalized recommendation and privacy protection, and thoroughly discuss and compare their merits and demerits, especially in terms of privacy and recommendation accuracy. We also identity some future research directions. Keywords: Privacy protection, Personalized recommendation services, Targeted delivery, Collaborative filtering, Machine learning

Towards Privacy Managment of Information Systems

OpenAIRE

Drageide, Vidar

2009-01-01

This masters thesis provides insight into the concept of privacy. It argues why privacy is important, and why developers and system owners should keep privacy in mind when developing and maintaining systems containing personal information. Following this, a strategy for evaluating the overall level of privacy in a system is defined. The strategy is then applied to parts of the cellphone system in an attempt to evaluate the privacy of traffic and location data in this system.

Adding query privacy to robust DHTs

DEFF Research Database (Denmark)

Backes, Michael; Goldberg, Ian; Kate, Aniket

2012-01-01

intermediate peers that (help to) route the queries towards their destinations. In this paper, we satisfy this requirement by presenting an approach for providing privacy for the keys in DHT queries. We use the concept of oblivious transfer (OT) in communication over DHTs to preserve query privacy without...... privacy over robust DHTs. Finally, we compare the performance of our privacy-preserving protocols with their more privacy-invasive counterparts. We observe that there is no increase in the message complexity...

Ethics and Privacy Implications of Using the Internet and Social Media to Recruit Participants for Health Research: A Privacy-by-Design Framework for Online Recruitment

Science.gov (United States)

Cyr, Alaina B; Arbuckle, Luk; Ferris, Lorraine E

2017-01-01

the appropriateness of the risk mitigation strategies that we employed by assessing their alignment with PbD and by discussing the following: (1) What are the potential risks and who is at risk? (2) Is cancer considered “sensitive” personal information? (3) What is the probability of online disclosure of a cancer diagnosis in everyday life? and (4) What are the public’s expectations for privacy online and their views about online tracking, profiling, and targeting? We conclude with a PbD framework for online health research recruitment. Conclusions Researchers, REBs, ethicists, students, and potential study participants are often unaware of the privacy risks of social media research recruitment and there is no official guidance. Our PbD framework for online health research recruitment is a resource for these wide audiences. PMID:28385682

Privacy in an Ambient World

NARCIS (Netherlands)

Dekker, M.A.C.; Etalle, Sandro; den Hartog, Jeremy

Privacy is a prime concern in today's information society. To protect the privacy of individuals, enterprises must follow certain privacy practices, while collecting or processing personal data. In this chapter we look at the setting where an enterprise collects private data on its website,

Information Privacy Revealed

Science.gov (United States)

Lavagnino, Merri Beth

2013-01-01

Why is Information Privacy the focus of the January-February 2013 issue of "EDUCAUSE Review" and "EDUCAUSE Review Online"? Results from the 2012 annual survey of the International Association of Privacy Professionals (IAPP) indicate that "meeting regulatory compliance requirements continues to be the top perceived driver…

A Survey of Privacy on Data Integration

OpenAIRE

Do Son, Thanh

2015-01-01

This survey is an integrated view of other surveys on privacy preserving for data integration. First, we review the database context and challenges and research questions. Second, we formulate the privacy problems for schema matching and data matching. Next, we introduce the elements of privacy models. Then, we summarize the existing privacy techniques and the analysis (proofs) of privacy guarantees. Finally, we describe the privacy frameworks and their applications.

Privacy in social networking sites

OpenAIRE

Λεονάρδος, Γεώργιος; Leonardos, Giorgos

2016-01-01

The purpose of this study is to explore the aspects of privacy over the use of social networks web sites. More specific, we will show the types of social networks, their privacy mechanisms that are different in each social network site, their privacy options that are offered to users. We will report some serious privacy violations incidents of the most popular social networks sites such as Facebook, Twitter, LinkedIn. Also, we will report some important surveys about social networks and pr...

Location-Related Privacy in Geo-Social Networks

DEFF Research Database (Denmark)

Ruiz Vicente, Carmen; Freni, Dario; Bettini, Claudio

2011-01-01

-ins." However, this ability to reveal users' locations causes new privacy threats, which in turn call for new privacy-protection methods. The authors study four privacy aspects central to these social networks - location, absence, co-location, and identity privacy - and describe possible means of protecting...... privacy in these circumstances....

PRIVACY AS A CULTURAL PHENOMENON

Directory of Open Access Journals (Sweden)

Garfield Benjamin

2017-07-01

Full Text Available Privacy remains both contentious and ever more pertinent in contemporary society. Yet it persists as an ill-defined term, not only within specific fields but in its various uses and implications between and across technical, legal and political contexts. This article offers a new critical review of the history of privacy in terms of two dominant strands of thinking: freedom and property. These two conceptions of privacy can be seen as successive historical epochs brought together under digital technologies, yielding increasingly complex socio-technical dilemmas. By simplifying the taxonomy to its socio-cultural function, the article provides a generalisable, interdisciplinary approach to privacy. Drawing on new technologies, historical trends, sociological studies and political philosophy, the article presents a discussion of the value of privacy as a term, before proposing a defense of the term cyber security as a mode of scalable cognitive privacy that integrates the relative needs of individuals, governments and corporations.

Personal-Data Disclosure in a Field Experiment: Evidence on Explicit Prices, Political Attitudes, and Privacy Preferences

Directory of Open Access Journals (Sweden)

Joachim Plesch

2018-05-01

Full Text Available Many people implicitly sell or give away their data when using online services and participating in loyalty programmes—despite growing concerns about company’s use of private data. Our paper studies potential reasons and co-variates that contribute to resolving this apparent paradox, which has not been studied previously. We ask customers of a bakery delivery service for their consent to disclose their personal data to a third party in exchange for a monetary rebate on their past orders. We study the role of implicitly and explicitly stated prices and add new determinants such as political orientation, income proxies and membership in loyalty programmes to the analysis of privacy decision. We document large heterogeneity in privacy valuations, and that the offered monetary benefits have less predictive power for data-disclosure decisions than expected. However, we find significant predictors of such decisions, such as political orientation towards liberal democrats (FDP and membership in loyalty programmes. We also find suggestive evidence that loyalty programmes are successful in disguising their “money for data” exchange mechanism.

Gendered Cultural Identities: The Influences of Family and Privacy Boundaries, Subjective Norms, and Stigma Beliefs on Family Health History Communication.

Science.gov (United States)

Hong, Soo Jung

2017-05-25

This study investigates the effects of cultural norms on family health history (FHH) communication in the American, Chinese, and Korean cultures. More particularly, this study focuses on perceived family boundaries, subjective norms, stigma beliefs, and privacy boundaries, including age and gender, that affect people's FHH communication. For data analyses, hierarchical multiple regression and logistic regression methods were employed. The results indicate that participants' subjective norms, stigma beliefs, and perceived family/privacy boundaries were positively associated with current FHH communication. Age- and gender-related privacy boundaries were negatively related to perceived privacy boundaries, however. Finally, the results show that gendered cultural identities have three-way interaction effects on two associations: (1) between perceived family boundaries and perceived privacy boundaries and (2) between perceived privacy boundaries and current FHH communication. The findings have meaningful implications for future cross-cultural studies on the roles of family systems, subjective norms, and stigma beliefs in FHH communication.

77 FR 31371 - Public Workshop: Privacy Compliance Workshop

Science.gov (United States)

2012-05-25

... presentations, including the privacy compliance fundamentals, privacy and data security, and the privacy... DEPARTMENT OF HOMELAND SECURITY Office of the Secretary Public Workshop: Privacy Compliance... Homeland Security Privacy Office will host a public workshop, ``Privacy Compliance Workshop.'' DATES: The...

Why should we respect the privacy of donors of biological material?

Science.gov (United States)

Tännsjö, Torbjörn

2011-02-01

Why should we respect the privacy of donors of biological material? The question is answered in the present article in general philosophical terms from the point of view of an ethics of honour, a libertarian theory of rights, a view of respect for privacy based on the idea that autonomy is of value in itself, and utilitarianism respectively. For different reasons the ethics of honour and the idea of the value of autonomy are set to one side. It surfaces that the moral rights theory and utilitarianism present conflicting answers to the question. The main thrust of the argument is that there is no way of finding an overlapping consensus, so politicians have to take decisions that are bound to be controversial in that they can be questioned on reasonable philosophical grounds.

Privacy Expectations in Online Contexts

Science.gov (United States)

Pure, Rebekah Abigail

2013-01-01

Advances in digital networked communication technology over the last two decades have brought the issue of personal privacy into sharper focus within contemporary public discourse. In this dissertation, I explain the Fourth Amendment and the role that privacy expectations play in the constitutional protection of personal privacy generally, and…

Online Tracking Technologies and Web Privacy:Technologieën voor Online volgen en Web Privacy

OpenAIRE

Acar, Mustafa Gunes Can

2017-01-01

In my PhD thesis, I would like to study the problem of online privacy with a focus on Web and mobile applications. Key research questions to be addressed by my study are the following: How can we formalize and quantify web tracking? What are the threats presented against privacy by different tracking techniques such as browser fingerprinting and cookie based tracking? What kind of privacy enhancing technologies (PET) can be used to ensure privacy without degrading service quality? The stud...

39 CFR 262.5 - Systems (Privacy).

Science.gov (United States)

2010-07-01

... 39 Postal Service 1 2010-07-01 2010-07-01 false Systems (Privacy). 262.5 Section 262.5 Postal... DEFINITIONS § 262.5 Systems (Privacy). (a) Privacy Act system of records. A Postal Service system containing... individual. (c) Computer matching program. A “matching program,” as defined in the Privacy Act, 5 U.S.C. 552a...

Extending SQL to Support Privacy Policies

Science.gov (United States)

Ghazinour, Kambiz; Pun, Sampson; Majedi, Maryam; Chinaci, Amir H.; Barker, Ken

Increasing concerns over Internet applications that violate user privacy by exploiting (back-end) database vulnerabilities must be addressed to protect both customer privacy and to ensure corporate strategic assets remain trustworthy. This chapter describes an extension onto database catalogues and Structured Query Language (SQL) for supporting privacy in Internet applications, such as in social networks, e-health, e-governmcnt, etc. The idea is to introduce new predicates to SQL commands to capture common privacy requirements, such as purpose, visibility, generalization, and retention for both mandatory and discretionary access control policies. The contribution is that corporations, when creating the underlying databases, will be able to define what their mandatory privacy policies arc with which all application users have to comply. Furthermore, each application user, when providing their own data, will be able to define their own privacy policies with which other users have to comply. The extension is supported with underlying catalogues and algorithms. The experiments demonstrate a very reasonable overhead for the extension. The result is a low-cost mechanism to create new systems that arc privacy aware and also to transform legacy databases to their privacy-preserving equivalents. Although the examples arc from social networks, one can apply the results to data security and user privacy of other enterprises as well.

Is Electronic Privacy Achievable?

National Research Council Canada - National Science Library

Irvine, Cynthia E; Levin, Timothy E

2000-01-01

... individuals. The purpose of this panel was to focus on how new technologies are affecting privacy. Technologies that might adversely affect privacy were identified by Rein Turn at previous symposia...

Privacy driven internet ecosystem

OpenAIRE

Trinh, Tuan Anh; Gyarmati, Laszlo

2012-01-01

The dominant business model of today's Internet is built upon advertisements; users can access Internet services while the providers show ads to them. Although significant efforts have been made to model and analyze the economic aspects of this ecosystem, the heart of the current status quo, namely privacy, has not received the attention of the research community yet. Accordingly, we propose an economic model of the privacy driven Internet ecosystem where privacy is handled as an asset that c...

Connecting Disadvantaged Youth to Quality Employment using ICTs ...

International Development Research Centre (IDRC) Digital Library (Canada)

The first phase of the program supported 35 projects involving more than 19 000 youths ... learning, job coaching and online access to job market opportunities. ... United States ... Reports. Connecting disadvantaged youth to quality employment through the ... Copyright · Open access policy · Privacy policy · Research ethics ...

Adding Query Privacy to Robust DHTs

DEFF Research Database (Denmark)

Backes, Michael; Goldberg, Ian; Kate, Aniket

2011-01-01

intermediate peers that (help to) route the queries towards their destinations. In this paper, we satisfy this requirement by presenting an approach for providing privacy for the keys in DHT queries. We use the concept of oblivious transfer (OT) in communication over DHTs to preserve query privacy without...... of obtaining query privacy over robust DHTs. Finally, we compare the performance of our privacy-preserving protocols with their more privacy-invasive counterparts. We observe that there is no increase in the message complexity and only a small overhead in the computational complexity....

A review on the state-of-the-art privacy-preserving approaches in the e-health clouds.

Science.gov (United States)

Abbas, Assad; Khan, Samee U

2014-07-01

Cloud computing is emerging as a new computing paradigm in the healthcare sector besides other business domains. Large numbers of health organizations have started shifting the electronic health information to the cloud environment. Introducing the cloud services in the health sector not only facilitates the exchange of electronic medical records among the hospitals and clinics, but also enables the cloud to act as a medical record storage center. Moreover, shifting to the cloud environment relieves the healthcare organizations of the tedious tasks of infrastructure management and also minimizes development and maintenance costs. Nonetheless, storing the patient health data in the third-party servers also entails serious threats to data privacy. Because of probable disclosure of medical records stored and exchanged in the cloud, the patients' privacy concerns should essentially be considered when designing the security and privacy mechanisms. Various approaches have been used to preserve the privacy of the health information in the cloud environment. This survey aims to encompass the state-of-the-art privacy-preserving approaches employed in the e-Health clouds. Moreover, the privacy-preserving approaches are classified into cryptographic and noncryptographic approaches and taxonomy of the approaches is also presented. Furthermore, the strengths and weaknesses of the presented approaches are reported and some open issues are highlighted.

When Differential Privacy Meets Randomized Perturbation: A Hybrid Approach for Privacy-Preserving Recommender System

KAUST Repository

Liu, Xiao

2017-03-21

Privacy risks of recommender systems have caused increasing attention. Users’ private data is often collected by probably untrusted recommender system in order to provide high-quality recommendation. Meanwhile, malicious attackers may utilize recommendation results to make inferences about other users’ private data. Existing approaches focus either on keeping users’ private data protected during recommendation computation or on preventing the inference of any single user’s data from the recommendation result. However, none is designed for both hiding users’ private data and preventing privacy inference. To achieve this goal, we propose in this paper a hybrid approach for privacy-preserving recommender systems by combining differential privacy (DP) with randomized perturbation (RP). We theoretically show the noise added by RP has limited effect on recommendation accuracy and the noise added by DP can be well controlled based on the sensitivity analysis of functions on the perturbed data. Extensive experiments on three large-scale real world datasets show that the hybrid approach generally provides more privacy protection with acceptable recommendation accuracy loss, and surprisingly sometimes achieves better privacy without sacrificing accuracy, thus validating its feasibility in practice.

The Impact of Privacy Concerns and Perceived Vulnerability to Risks on Users Privacy Protection Behaviors on SNS: A Structural Equation Model

OpenAIRE

Noora Sami Al-Saqer; Mohamed E. Seliaman

2016-01-01

This research paper investigates Saudi users’ awareness levels about privacy policies in Social Networking Sites (SNSs), their privacy concerns and their privacy protection measures. For this purpose, a research model that consists of five main constructs namely information privacy concern, awareness level of privacy policies of social networking sites, perceived vulnerability to privacy risks, perceived response efficacy, and privacy protecting behavior was developed. An online survey questi...

Privacy, confidentiality and automated health information systems.

Science.gov (United States)

Vuori, H

1977-12-01

Professor Vuori's paper, first presented at the fourth Medico-legal Conference in Prague in the spring of this year, deals with the problem of the maintenance of confidentiality in computerized health records. Although more and more information is required, the hardware of the computer systems is so sophisticated that it would be very expensive indeed to 'break in' and steal from a modern data bank. Those concerned with programming computers are becoming more aware of their responsibilities concerning confidentiality and privacy, to the extent that a legal code of ethics for programmers is being formulated. They are also aware that the most sensitive of all relationships--the doctor-patient relationship--could be in danger if they failed to maintain high standards of integrity. An area of danger is where administrative boundaries between systems must be crossed--say between those of health and employment. Protection of privacy must be ensured by releasing full information about the type of data being stored, and by maintaining democratic control over the establishment of information systems.

Regulating Online Data Privacy

OpenAIRE

Paul Reid

2004-01-01

With existing data protection laws proving inadequate in the fight to protect online data privacy and with the offline law of privacy in a state of change and uncertainty, the search for an alternative solution to the important problem of online data privacy should commence. With the inherent problem of jurisdiction that the Internet presents, such a solution is best coming from a multi-national body with the power to approximate laws in as many jurisdictions as possible, with a recognised au...

Customer privacy on UK healthcare websites.

Science.gov (United States)

Mundy, Darren P

2006-09-01

Privacy has been and continues to be one of the key challenges of an age devoted to the accumulation, processing, and mining of electronic information. In particular, privacy of healthcare-related information is seen as a key issue as health organizations move towards the electronic provision of services. The aim of the research detailed in this paper has been to analyse privacy policies on popular UK healthcare-related websites to determine the extent to which consumer privacy is protected. The author has combined approaches (such as approaches focused on usability, policy content, and policy quality) used in studies by other researchers on e-commerce and US healthcare websites to provide a comprehensive analysis of UK healthcare privacy policies. The author identifies a wide range of issues related to the protection of consumer privacy through his research analysis using quantitative results. The main outcomes from the author's research are that only 61% of healthcare-related websites in their sample group posted privacy policies. In addition, most of the posted privacy policies had poor readability standards and included a variety of privacy vulnerability statements. Overall, the author's findings represent significant current issues in relation to healthcare information protection on the Internet. The hope is that raising awareness of these results will drive forward changes in the industry, similar to those experienced with information quality.

Lattice Based Mix Network for Location Privacy in Mobile System

Directory of Open Access Journals (Sweden)

Kunwar Singh

2015-01-01

Full Text Available In 1981, David Chaum proposed a cryptographic primitive for privacy called mix network (Mixnet. A mixnet is cryptographic construction that establishes anonymous communication channel through a set of servers. In 2004, Golle et al. proposed a new cryptographic primitive called universal reencryption which takes the input as encrypted messages under the public key of the recipients not the public key of the universal mixnet. In Eurocrypt 2010, Gentry, Halevi, and Vaikunthanathan presented a cryptosystem which is an additive homomorphic and a multiplicative homomorphic for only one multiplication. In MIST 2013, Singh et al. presented a lattice based universal reencryption scheme under learning with error (LWE assumption. In this paper, we have improved Singh et al.’s scheme using Fairbrother’s idea. LWE is a lattice hard problem for which till now there is no polynomial time quantum algorithm. Wiangsripanawan et al. proposed a protocol for location privacy in mobile system using universal reencryption whose security is reducible to Decision Diffie-Hellman assumption. Once quantum computer becomes a reality, universal reencryption can be broken in polynomial time by Shor’s algorithm. In postquantum cryptography, our scheme can replace universal reencryption scheme used in Wiangsripanawan et al. scheme for location privacy in mobile system.

Monitoring Employee Behavior Through the Use of Technology and Issues of Employee Privacy in America

Directory of Open Access Journals (Sweden)

Mahmoud Moussa

2015-04-01

Full Text Available Despite the historic American love for privacy that has enhanced innovation and creativity throughout the country, encroachments on privacy restrain individual freedom. Noticeable, advances in technology have offered decision makers remarkable monitoring aptitudes that can be used in numerous tasks for multiple reasons. This has led scholars and practitioners to pose a significant number of questions about what is legitimate and illegitimate in the day-to-day affairs of a business. This article is composed of (a research about electronic monitoring and privacy concerns; (b definitions of, critiques of, and alternatives to electronic performance monitoring (EPM; (c motives behind employee monitoring and leadership behaviors; (d advice that makes monitoring less distressful; (e employee monitoring policies; (f reviewing policies and procedures; (g the role of human resource development (HRD in employee assessment and development; and (h conclusion and recommendations for further studies.

Ethics and Privacy Implications of Using the Internet and Social Media to Recruit Participants for Health Research: A Privacy-by-Design Framework for Online Recruitment.

Science.gov (United States)

Bender, Jacqueline Lorene; Cyr, Alaina B; Arbuckle, Luk; Ferris, Lorraine E

2017-04-06

mitigation strategies that we employed by assessing their alignment with PbD and by discussing the following: (1) What are the potential risks and who is at risk? (2) Is cancer considered "sensitive" personal information? (3) What is the probability of online disclosure of a cancer diagnosis in everyday life? and (4) What are the public's expectations for privacy online and their views about online tracking, profiling, and targeting? We conclude with a PbD framework for online health research recruitment. Researchers, REBs, ethicists, students, and potential study participants are often unaware of the privacy risks of social media research recruitment and there is no official guidance. Our PbD framework for online health research recruitment is a resource for these wide audiences. ©Jacqueline Lorene Bender, Alaina B Cyr, Luk Arbuckle, Lorraine E Ferris. Originally published in the Journal of Medical Internet Research (http://www.jmir.org), 06.04.2017.

Considerations on the conditions under which the employer may monitor their employees at the workplace

Directory of Open Access Journals (Sweden)

Monica Gheorghe

2017-12-01

Full Text Available Recently, the European Court of Human Rights in the case Bărbulescu v. România has ruled that the national courts did not ensure respect for the right to privacy in the employment relationship of an employee who had been disciplinary dismissed for using the internet and an IT application in the personal interest during the working hours, dismissal which was based on evidence obtained after the employer had monitored the employee’s electronic communications. The Court concluded that the national courts failed to strike a fair balance between the employee’s right to private life at the workplace and the employer’s right to supervise and control the work of his employees. Thus, the Court found a violation of Article 8 of the European Convention of Human Rights. In its decision, the Court specified the criteria to be applied by the national authorities in order to achieve a balance between the rights of the two parties (employee-employers. The herein study aims to briefly analyze the case and to establish the concrete elements that employers should consider if they intend to monitor their employees in order not to violate their right to private life at the workplace of the latter.

Privacy for All Students? Talking about and around Trans Students in "Public"

Science.gov (United States)

Stiegler, Sam

2016-01-01

This paper places under examination the arguments used to fight against school policies and legislation intended to guarantee and protect the rights of trans students. That is, the paper's central investigation works to uncover the regimes of truth about children, gender, race and privacy implicit in the methods employed by activists who seek to…

Information privacy fundamentals for librarians and information professionals

CERN Document Server

Givens, Cherie L

2014-01-01

This book introduces library and information professionals to information privacy, provides an overview of information privacy in the library and information science context, U.S. privacy laws by sector, information privacy policy, and key considerations when planning and creating a privacy program.

Privacy-invading technologies : safeguarding privacy, liberty & security in the 21st century

NARCIS (Netherlands)

Klitou, Demetrius

2012-01-01

With a focus on the growing development and deployment of the latest technologies that threaten privacy, the PhD dissertation argues that the US and UK legal frameworks, in their present form, are inadequate to defend privacy and other civil liberties against the intrusive capabilities of body

Privacy in Social Networks

CERN Document Server

Zheleva, Elena

2012-01-01

This synthesis lecture provides a survey of work on privacy in online social networks (OSNs). This work encompasses concerns of users as well as service providers and third parties. Our goal is to approach such concerns from a computer-science perspective, and building upon existing work on privacy, security, statistical modeling and databases to provide an overview of the technical and algorithmic issues related to privacy in OSNs. We start our survey by introducing a simple OSN data model and describe common statistical-inference techniques that can be used to infer potentially sensitive inf

SIED, a Data Privacy Engineering Framework

OpenAIRE

Mivule, Kato

2013-01-01

While a number of data privacy techniques have been proposed in the recent years, a few frameworks have been suggested for the implementation of the data privacy process. Most of the proposed approaches are tailored towards implementing a specific data privacy algorithm but not the overall data privacy engineering and design process. Therefore, as a contribution, this study proposes SIED (Specification, Implementation, Evaluation, and Dissemination), a conceptual framework that takes a holist...

User Privacy in RFID Networks

Science.gov (United States)

Singelée, Dave; Seys, Stefaan

Wireless RFID networks are getting deployed at a rapid pace and have already entered the public space on a massive scale: public transport cards, the biometric passport, office ID tokens, customer loyalty cards, etc. Although RFID technology offers interesting services to customers and retailers, it could also endanger the privacy of the end-users. The lack of protection mechanisms being deployed could potentially result in a privacy leakage of personal data. Furthermore, there is the emerging threat of location privacy. In this paper, we will show some practical attack scenarios and illustrates some of them with cases that have received press coverage. We will present the main challenges of enhancing privacy in RFID networks and evaluate some solutions proposed in literature. The main advantages and shortcomings will be briefly discussed. Finally, we will give an overview of some academic and industrial research initiatives on RFID privacy.

Comparison of two speech privacy measurements, articulation index (AI) and speech privacy noise isolation class (NIC'), in open workplaces

Science.gov (United States)

Yoon, Heakyung C.; Loftness, Vivian

2002-05-01

Lack of speech privacy has been reported to be the main dissatisfaction among occupants in open workplaces, according to workplace surveys. Two speech privacy measurements, Articulation Index (AI), standardized by the American National Standards Institute in 1969, and Speech Privacy Noise Isolation Class (NIC', Noise Isolation Class Prime), adapted from Noise Isolation Class (NIC) by U. S. General Services Administration (GSA) in 1979, have been claimed as objective tools to measure speech privacy in open offices. To evaluate which of them, normal privacy for AI or satisfied privacy for NIC', is a better tool in terms of speech privacy in a dynamic open office environment, measurements were taken in the field. AIs and NIC's in the different partition heights and workplace configurations have been measured following ASTM E1130 (Standard Test Method for Objective Measurement of Speech Privacy in Open Offices Using Articulation Index) and GSA test PBS-C.1 (Method for the Direct Measurement of Speech-Privacy Potential (SPP) Based on Subjective Judgments) and PBS-C.2 (Public Building Service Standard Method of Test Method for the Sufficient Verification of Speech-Privacy Potential (SPP) Based on Objective Measurements Including Methods for the Rating of Functional Interzone Attenuation and NC-Background), respectively.

An Alternative View of Privacy on Facebook

Directory of Open Access Journals (Sweden)

Christian Fuchs

2011-02-01

Full Text Available The predominant analysis of privacy on Facebook focuses on personal information revelation. This paper is critical of this kind of research and introduces an alternative analytical framework for studying privacy on Facebook, social networking sites and web 2.0. This framework is connecting the phenomenon of online privacy to the political economy of capitalism—a focus that has thus far been rather neglected in research literature about Internet and web 2.0 privacy. Liberal privacy philosophy tends to ignore the political economy of privacy in capitalism that can mask socio-economic inequality and protect capital and the rich from public accountability. Facebook is in this paper analyzed with the help of an approach, in which privacy for dominant groups, in regard to the ability of keeping wealth and power secret from the public, is seen as problematic, whereas privacy at the bottom of the power pyramid for consumers and normal citizens is seen as a protection from dominant interests. Facebook’s privacy concept is based on an understanding that stresses self-regulation and on an individualistic understanding of privacy. The theoretical analysis of the political economy of privacy on Facebook in this paper is based on the political theories of Karl Marx, Hannah Arendt and Jürgen Habermas. Based on the political economist Dallas Smythe’s concept of audience commodification, the process of prosumer commodification on Facebook is analyzed. The political economy of privacy on Facebook is analyzed with the help of a theory of drives that is grounded in Herbert Marcuse’s interpretation of Sigmund Freud, which allows to analyze Facebook based on the concept of play labor (= the convergence of play and labor.

An Alternative View of Privacy on Facebook

OpenAIRE

Christian Fuchs

2011-01-01

The predominant analysis of privacy on Facebook focuses on personal information revelation. This paper is critical of this kind of research and introduces an alternative analytical framework for studying privacy on Facebook, social networking sites and web 2.0. This framework is connecting the phenomenon of online privacy to the political economy of capitalism—a focus that has thus far been rather neglected in research literature about Internet and web 2.0 privacy. Liberal privacy philosophy ...

Effective online privacy mechanisms with persuasive communication

OpenAIRE

Coopamootoo, P L

2016-01-01

This thesis contributes to research by taking a social psychological perspective to managing privacy online. The thesis proposes to support the effort to form a mental model that is required to evaluate a context with regards to privacy attitudes or to ease the effort by biasing activation of privacy attitudes. Privacy being a behavioural concept, the human-computer interaction design plays a major role in supporting and contributing to end users’ ability to manage their privacy online. Howev...

PriBots: Conversational Privacy with Chatbots

OpenAIRE

Harkous, Hamza; Fawaz, Kassem; Shin, Kang G.; Aberer, Karl

2016-01-01

Traditional mechanisms for delivering notice and enabling choice have so far failed to protect users’ privacy. Users are continuously frustrated by complex privacy policies, unreachable privacy settings, and a multitude of emerging standards. The miniaturization trend of smart devices and the emergence of the Internet of Things (IoTs) will exacerbate this problem further. In this paper, we propose Conversational Privacy Bots (PriBots) as a new way of delivering notice and choice through a two...

Privacy Protection: Mandating New Arrangements to Implement and Assess Federal Privacy Policy and Practice

National Research Council Canada - National Science Library

Relyea, Harold C

2004-01-01

When Congress enacted the Privacy Act of 1974, it established a temporary national study commission to conduct a comprehensive assessment of privacy policy and practice in both the public and private...

24 CFR 3280.107 - Interior privacy.

Science.gov (United States)

2010-04-01

... 24 Housing and Urban Development 5 2010-04-01 2010-04-01 false Interior privacy. 3280.107 Section 3280.107 Housing and Urban Development Regulations Relating to Housing and Urban Development (Continued... privacy. Bathroom and toilet compartment doors shall be equipped with a privacy lock. ...

Online privacy: overview and preliminary research

Directory of Open Access Journals (Sweden)

Renata Mekovec

2010-12-01

Full Text Available Normal 0 21 false false false HR X-NONE X-NONE MicrosoftInternetExplorer4 Over the last decade using the Internet for online shopping, information browsing and searching as well as for online communication has become part of everyday life. Although the Internet technology has a lot of benefits for users, one of the most important disadvantages is related to the increasing capacity for users’ online activity surveillance. However, the users are increasingly becoming aware of online surveillance methods, which results in their increased concern for privacy protection. Numerous factors influence the way in which individuals perceive the level of privacy protection when they are online. This article provides a review of factors that influence the privacy perception of Internet users. Previous online privacy research related to e-business was predominantly focused on the dimension of information privacy and concerned with the way users’ personal information is collected, saved and used by an online company. This article’s main aim is to provide an overview of numerous Internet users’ privacy perception elements across various privacy dimensions as well as their potential categorization. In addition, considering that e-banking and online shopping are one of the most widely used e-services, an examination of online privacy perception of e-banking/online shopping users was performed. 

45 CFR 503.1 - Definitions-Privacy Act.

Science.gov (United States)

2010-10-01

... 45 Public Welfare 3 2010-10-01 2010-10-01 false Definitions-Privacy Act. 503.1 Section 503.1... THE UNITED STATES, DEPARTMENT OF JUSTICE RULES OF PRACTICE PRIVACY ACT AND GOVERNMENT IN THE SUNSHINE REGULATIONS Privacy Act Regulations § 503.1 Definitions—Privacy Act. For the purpose of this part: Agency...

48 CFR 52.224-2 - Privacy Act.

Science.gov (United States)

2010-10-01

... 48 Federal Acquisition Regulations System 2 2010-10-01 2010-10-01 false Privacy Act. 52.224-2... AND FORMS SOLICITATION PROVISIONS AND CONTRACT CLAUSES Text of Provisions and Clauses 52.224-2 Privacy... agency function: Privacy Act (APR 1984) (a) The Contractor agrees to— (1) Comply with the Privacy Act of...

Perspectives of Australian adults about protecting the privacy of their health information in statistical databases.

Science.gov (United States)

King, Tatiana; Brankovic, Ljiljana; Gillard, Patricia

2012-04-01

The aim of this study was to discover the public's attitude and views towards privacy in health care. This is a part of a larger project which aims to gain an insight into what kind of privacy is needed and develop technical measures to provide such privacy. The study was a two-stage process which combined qualitative and quantitative research. Stage One of the study comprised arranging and facilitating focus groups while in Stage Two we conducted a social survey. We measured attitudes towards privacy, medical research and consent; privacy concern about sharing one's health information for research; privacy concern about the possibility that some specific information from medical records could be linked to the patient's name in a situation that was not related to medical treatment. The results of the study revealed both great support for medical research (98%), and concern about privacy of health information (66%). Participants prefer to be asked for their permission before their health information is used for any purpose other than medical treatment (92%), and they would like to know the organisation and details of the research before allowing the use of their health records (83%). Age, level of education, place of birth and employment status are most strongly associated with privacy concerns. The study showed that there are some particularly sensitive issues and there is a concern (42-60%) about any possibility of linking these kinds of data to the patient's name in a situation that is not related to medical treatment. Such issues include sexually transmitted diseases, abortions and infertility, family medical history/genetic disorders, mental illness, drug/alcohol related incidents, lists of previous operations/procedures/dates and current medications. Participants believe they should be asked for permission before their health information is used for any purpose other than medical treatment. However, consent and privacy concerns are not necessary related

Virtue, Privacy and Self-Determination

DEFF Research Database (Denmark)

Stamatellos, Giannis

2011-01-01

The ethical problem of privacy lies at the core of computer ethics and cyber ethics discussions. The extensive use of personal data in digital networks poses a serious threat to the user’s right of privacy not only at the level of a user’s data integrity and security but also at the level of a user......’s identity and freedom. In normative ethical theory the need for an informational self-deterministic approach of privacy is stressed with greater emphasis on the control over personal data. However, scant attention has been paid on a virtue ethics approach of information privacy. Plotinus’ discussion of self......-determination is related to ethical virtue, human freedom and intellectual autonomy. The Plotinian virtue ethics approach of self-determination is not primarily related to the sphere of moral action, but to the quality of the self prior to moral practice. In this paper, it is argued that the problem of information privacy...

Benefits of Employing a Personal Response System in a Decision Analysis Course

Directory of Open Access Journals (Sweden)

Rachel Or-Bach

2016-05-01

Full Text Available This paper describes the employment of a Personal Response System (PRS during a Decision Analysis course for Management Information Systems (MIS students. The description shows how the carefully designed PRS-based questions, the delivery, and the follow-up discussions; provided a context for eliciting and exercising central concepts of the course topics as well as central skills required for MIS majors. A sample of PRS-based questions is presented along with a description for each question of its purpose, the way it was delivered, the response rate, the responses and their frequencies, and the respective in-class discussion. Lessons from these findings are discussed.

Older and Wiser? Facebook Use, Privacy Concern, and Privacy Protection in the Life Stages of Emerging, Young, and Middle Adulthood

Directory of Open Access Journals (Sweden)

Evert Van den Broeck

2015-11-01

Full Text Available A large part of research conducted on privacy concern and protection on social networking sites (SNSs concentrates on children and adolescents. Individuals in these developmental stages are often described as vulnerable Internet users. But how vulnerable are adults in terms of online informational privacy? This study applied a privacy boundary management approach and investigated Facebook use, privacy concern, and the application of privacy settings on Facebook by linking the results to Erikson’s three stages of adulthood: emerging, young, and middle adulthood. An online survey was distributed among 18- to 65-year-old Dutch-speaking adults ( N  = 508, 51.8% females. Analyses revealed clear differences between the three adult age groups in terms of privacy concern, Facebook use, and privacy protection. Results indicated that respondents in young adulthood and middle adulthood were more vulnerable in terms of privacy protection than emerging adults. Clear discrepancies were found between privacy concern and protection for these age groups. More particularly, the middle adulthood group was more concerned about their privacy in comparison to the emerging adulthood and young adulthood group. Yet, they reported to use privacy settings less frequently than the younger age groups. Emerging adults were found to be pragmatic and privacy conscious SNS users. Young adults occupied the intermediate position, suggesting a developmental shift. The impact of generational differences is discussed, as well as implications for education and governmental action.

Healthcare information privacy and security regulatory compliance and data security in the age of electronic health records

CERN Document Server

Robichau, Bernard Peter

2014-01-01

Healthcare is a huge market--20% of yearly GDP in the U.S. It employs tens of thousands of computer programmers and IT administrators Regulations mandate electronic health records by 2015 (for anyone dealing with Medicare/Medicaid), which means new concerns for privacy and security Many medical organizations lagging, putting them at risk for government fines and private lawsuits when a breach in security occurs. Healthcare IT is the growth industry right now, and the need for guidance in regard to privacy and security is huge.

Policy recommendations for addressing privacy challenges associated with cell-based research and interventions.

Science.gov (United States)

Ogbogu, Ubaka; Burningham, Sarah; Ollenberger, Adam; Calder, Kathryn; Du, Li; El Emam, Khaled; Hyde-Lay, Robyn; Isasi, Rosario; Joly, Yann; Kerr, Ian; Malin, Bradley; McDonald, Michael; Penney, Steven; Piat, Gayle; Roy, Denis-Claude; Sugarman, Jeremy; Vercauteren, Suzanne; Verhenneman, Griet; West, Lori; Caulfield, Timothy

2014-02-03

The increased use of human biological material for cell-based research and clinical interventions poses risks to the privacy of patients and donors, including the possibility of re-identification of individuals from anonymized cell lines and associated genetic data. These risks will increase as technologies and databases used for re-identification become affordable and more sophisticated. Policies that require ongoing linkage of cell lines to donors' clinical information for research and regulatory purposes, and existing practices that limit research participants' ability to control what is done with their genetic data, amplify the privacy concerns. To date, the privacy issues associated with cell-based research and interventions have not received much attention in the academic and policymaking contexts. This paper, arising out of a multi-disciplinary workshop, aims to rectify this by outlining the issues, proposing novel governance strategies and policy recommendations, and identifying areas where further evidence is required to make sound policy decisions. The authors of this paper take the position that existing rules and norms can be reasonably extended to address privacy risks in this context without compromising emerging developments in the research environment, and that exceptions from such rules should be justified using a case-by-case approach. In developing new policies, the broader framework of regulations governing cell-based research and related areas must be taken into account, as well as the views of impacted groups, including scientists, research participants and the general public. This paper outlines deliberations at a policy development workshop focusing on privacy challenges associated with cell-based research and interventions. The paper provides an overview of these challenges, followed by a discussion of key themes and recommendations that emerged from discussions at the workshop. The paper concludes that privacy risks associated with cell

49 CFR 10.13 - Privacy Officer.

Science.gov (United States)

2010-10-01

... INDIVIDUALS General § 10.13 Privacy Officer. (a) To assist with implementation, evaluation, and administration issues, the Chief Information Officer appoints a principal coordinating official with the title Privacy... 49 Transportation 1 2010-10-01 2010-10-01 false Privacy Officer. 10.13 Section 10.13...

Web Security, Privacy & Commerce

CERN Document Server

Garfinkel, Simson

2011-01-01

Since the first edition of this classic reference was published, World Wide Web use has exploded and e-commerce has become a daily part of business and personal life. As Web use has grown, so have the threats to our security and privacy--from credit card fraud to routine invasions of privacy by marketers to web site defacements to attacks that shut down popular web sites. Web Security, Privacy & Commerce goes behind the headlines, examines the major security risks facing us today, and explains how we can minimize them. It describes risks for Windows and Unix, Microsoft Internet Exp

77 FR 33761 - Privacy Act of 1974; Notification to Update an Existing Privacy Act System of Records, “Grievance...

Science.gov (United States)

2012-06-07

... of a data breach. (See also on HUD's privacy Web site, Appendix I for other ways that the Privacy Act... DEPARTMENT OF HOUSING AND URBAN DEVELOPMENT [Docket No. FR-5613-N-04] Privacy Act of 1974; Notification to Update an Existing Privacy Act System of Records, ``Grievance Records'' AGENCY: Office of the...

Online Privacy as a Corporate Social Responsibility

DEFF Research Database (Denmark)

Pollach, Irene

2011-01-01

Information technology and the Internet have added a new stakeholder concern to the corporate social responsibility agenda: online privacy. While theory suggests that online privacy is a corporate social responsibility, only very few studies in the business ethics literature have connected...... of the companies have comprehensive privacy programs, although more than half of them voice moral or relational motives for addressing online privacy. The privacy measures they have taken are primarily compliance measures, while measures that stimulate a stakeholder dialogue are rare. Overall, a wide variety...

Privacy-related context information for ubiquitous health.

Science.gov (United States)

Seppälä, Antto; Nykänen, Pirkko; Ruotsalainen, Pekka

2014-03-11

Ubiquitous health has been defined as a dynamic network of interconnected systems. A system is composed of one or more information systems, their stakeholders, and the environment. These systems offer health services to individuals and thus implement ubiquitous computing. Privacy is the key challenge for ubiquitous health because of autonomous processing, rich contextual metadata, lack of predefined trust among participants, and the business objectives. Additionally, regulations and policies of stakeholders may be unknown to the individual. Context-sensitive privacy policies are needed to regulate information processing. Our goal was to analyze privacy-related context information and to define the corresponding components and their properties that support privacy management in ubiquitous health. These properties should describe the privacy issues of information processing. With components and their properties, individuals can define context-aware privacy policies and set their privacy preferences that can change in different information-processing situations. Scenarios and user stories are used to analyze typical activities in ubiquitous health to identify main actors, goals, tasks, and stakeholders. Context arises from an activity and, therefore, we can determine different situations, services, and systems to identify properties for privacy-related context information in information-processing situations. Privacy-related context information components are situation, environment, individual, information technology system, service, and stakeholder. Combining our analyses and previously identified characteristics of ubiquitous health, more detailed properties for the components are defined. Properties define explicitly what context information for different components is needed to create context-aware privacy policies that can control, limit, and constrain information processing. With properties, we can define, for example, how data can be processed or how components

Enhancing Privacy for Digital Rights Management

NARCIS (Netherlands)

Petkovic, M.; Conrado, C.; Schrijen, G.J.; Jonker, Willem

2007-01-01

This chapter addresses privacy issues in DRM systems. These systems provide a means of protecting digital content, but may violate the privacy of users in that the content they purchase and their actions in the system can be linked to specific users. The chapter proposes a privacy-preserving DRM

Location privacy protection in mobile networks

CERN Document Server

Liu, Xinxin

2013-01-01

This SpringerBrief analyzes the potential privacy threats in wireless and mobile network environments, and reviews some existing works. It proposes multiple privacy preserving techniques against several types of privacy threats that are targeting users in a mobile network environment. Depending on the network architecture, different approaches can be adopted. The first proposed approach considers a three-party system architecture where there is a trusted central authority that can be used to protect users? privacy. The second approach considers a totally distributed environment where users per

Privacy enhanced recommender system

NARCIS (Netherlands)

Erkin, Zekeriya; Erkin, Zekeriya; Beye, Michael; Veugen, Thijs; Lagendijk, Reginald L.

2010-01-01

Recommender systems are widely used in online applications since they enable personalized service to the users. The underlying collaborative filtering techniques work on user’s data which are mostly privacy sensitive and can be misused by the service provider. To protect the privacy of the users, we

Privacy Metrics and Boundaries

NARCIS (Netherlands)

L-F. Pau (Louis-François)

2005-01-01

textabstractThis paper aims at defining a set of privacy metrics (quantitative and qualitative) in the case of the relation between a privacy protector ,and an information gatherer .The aims with such metrics are: -to allow to assess and compare different user scenarios and their differences; for

Public sector employment for community development in South Africa

International Development Research Centre (IDRC) Digital Library (Canada)

2015-11-26

Nov 26, 2015 ... South Africa's Community Work Programme (CWP) provides an employment safety net ... IDRC-supported experts at the Centre for the Study of Violence and ... Read the policy brief (in English, PDF, 5MB). ... Copyright · Open access policy · Privacy policy · Research ethics · Transparency · Website usage.

The Privacy Calculus: Mobile Apps and User Perceptions of Privacy and Security

Directory of Open Access Journals (Sweden)

Elizabeth Fife

2012-07-01

Full Text Available A continuing stream of new mobile data services are being released that rely upon the collection of personal data to support a business model. New technologies including facial recognition, sensors and Near Field Communications (NFC will increasingly become a part of everyday services and applications that challenge traditional concepts of individual privacy. The average person as well as the “tech‐savvy” mobile phone user may not yet be fully aware of the extent to which their privacy and security are being affected through their mobile activities and how comparable this situation is to personal computer usage. We investigate perceptions and usage of mobile data services that appear to have specific privacy and security sensitivities, specifically social networking,\tbanking/payments\tand\thealth‐related activities. Our annual survey of smartphone users in the U.S. and Japan is presented from 2011. This nationally representative survey data is used to show demographic and cultural differences, and substantiate our hypotheses about the links between use and privacy concerns

The Influence of Workers' Health Status on Employers' Decision-Making During Personnel Restructuring in a Typical Public Limited Enterprise in Slovenia.

Science.gov (United States)

Margan, Andrea; Dodič-Fikfak, Metoda

2015-09-01

Alongside individual indicators of job performance, even workers' health status could be a criterion for selection. The mechanisms for health selection are a reduction of productivity in relation to illness or certain health behaviour. The aim of the study was to establish how indicators of workers' health status, which are accessible to the employer, influence the employer's decision-making on which workers to retain and which to dismiss during personnel restructuring in the enterprise. Due to a planned closure of a plant, the observed company began personnel restructuring which included a strategic decrease in the number of employees and the relocation of workers within the company. Two nested case control studies were conducted. The cases were divided into two groups and defined as follows: employees who were relocated and employees whose employment contract was terminated. The results show that the disability category and long-time sick leave exert the greatest influence on the employer's decision on the selection of workers. Workers with work-related disability have lower odds to be relocated to a new workplace (OR=0.5; 95% CI 0.2 to 1.1) and higher odds to be dismissed (OR=6.51; 95% CI 3.33 to 12.72). The workers with a history of a long-time sick leave also have lower odds to be relocated (OR=0.31; 95% CI 0.11 to 0.88) and higher odds to be dismissed (OR=4.32; 95% CI 2.08 to 8.96). Indicators of health which were accessible to the employer actually exerted influence on the employer's decision-making, which could show a direct form of health selection.

Privacy Protection Research of Mobile RFID

Institute of Scientific and Technical Information of China (English)

2007-01-01

Radio Frequency Identification is one of the most controversial technologies at present.It is very difficult to detect who reads a tag incorporated into products owned by a person,a significant concern to privacy threats in RFID system arises from this reason.User privacy problem is prior considersion for mobile RFID service,because most mobile RFID service based on end-user service.Propose a solution for user privacy protection,which is a modification of EPC Class 1 Generation 2 protocol,and introduce a privacy protection scenario for mobile RFID service using this method.

Analysis of Privacy on Social Networks

OpenAIRE

Tomandl, Luboš

2015-01-01

This thesis deals with a question of privacy in a context of social networks. The main substance of these services is the users' option to share an information about their lives. This alone can be a problem for privacy. In the first part of this thesis concentrates on the meaning of privacy as well as its value for both individuals and the society. In the next part the privacy threats on social networks, namely Facebook, are discussed. These threats are disclosed on four levels according to f...

Disassociation for electronic health record privacy.

Science.gov (United States)

Loukides, Grigorios; Liagouris, John; Gkoulalas-Divanis, Aris; Terrovitis, Manolis

2014-08-01

The dissemination of Electronic Health Record (EHR) data, beyond the originating healthcare institutions, can enable large-scale, low-cost medical studies that have the potential to improve public health. Thus, funding bodies, such as the National Institutes of Health (NIH) in the U.S., encourage or require the dissemination of EHR data, and a growing number of innovative medical investigations are being performed using such data. However, simply disseminating EHR data, after removing identifying information, may risk privacy, as patients can still be linked with their record, based on diagnosis codes. This paper proposes the first approach that prevents this type of data linkage using disassociation, an operation that transforms records by splitting them into carefully selected subsets. Our approach preserves privacy with significantly lower data utility loss than existing methods and does not require data owners to specify diagnosis codes that may lead to identity disclosure, as these methods do. Consequently, it can be employed when data need to be shared broadly and be used in studies, beyond the intended ones. Through extensive experiments using EHR data, we demonstrate that our method can construct data that are highly useful for supporting various types of clinical case count studies and general medical analysis tasks. Copyright © 2014 Elsevier Inc. All rights reserved.

Privacy by design in personal health monitoring.

Science.gov (United States)

Nordgren, Anders

2015-06-01

The concept of privacy by design is becoming increasingly popular among regulators of information and communications technologies. This paper aims at analysing and discussing the ethical implications of this concept for personal health monitoring. I assume a privacy theory of restricted access and limited control. On the basis of this theory, I suggest a version of the concept of privacy by design that constitutes a middle road between what I call broad privacy by design and narrow privacy by design. The key feature of this approach is that it attempts to balance automated privacy protection and autonomously chosen privacy protection in a way that is context-sensitive. In personal health monitoring, this approach implies that in some contexts like medication assistance and monitoring of specific health parameters one single automatic option is legitimate, while in some other contexts, for example monitoring in which relatives are receivers of health-relevant information rather than health care professionals, a multi-choice approach stressing autonomy is warranted.

Pre-Capture Privacy for Small Vision Sensors.

Science.gov (United States)

Pittaluga, Francesco; Koppal, Sanjeev Jagannatha

2017-11-01

The next wave of micro and nano devices will create a world with trillions of small networked cameras. This will lead to increased concerns about privacy and security. Most privacy preserving algorithms for computer vision are applied after image/video data has been captured. We propose to use privacy preserving optics that filter or block sensitive information directly from the incident light-field before sensor measurements are made, adding a new layer of privacy. In addition to balancing the privacy and utility of the captured data, we address trade-offs unique to miniature vision sensors, such as achieving high-quality field-of-view and resolution within the constraints of mass and volume. Our privacy preserving optics enable applications such as depth sensing, full-body motion tracking, people counting, blob detection and privacy preserving face recognition. While we demonstrate applications on macro-scale devices (smartphones, webcams, etc.) our theory has impact for smaller devices.

Through Patients' Eyes: Regulation, Technology, Privacy, and the Future.

Science.gov (United States)

Petersen, Carolyn

2018-04-22

Privacy is commonly regarded as a regulatory requirement achieved via technical and organizational management practices. Those working in the field of informatics often play a role in privacy preservation as a result of their expertise in information technology, workflow analysis, implementation science, or related skills. Viewing privacy from the perspective of patients whose protected health information is at risk broadens the considerations to include the perceived duality of privacy; the existence of privacy within a context unique to each patient; the competing needs inherent within privacy management; the need for particular consideration when data are shared; and the need for patients to control health information in a global setting. With precision medicine, artificial intelligence, and other treatment innovations on the horizon, health care professionals need to think more broadly about how to preserve privacy in a health care environment driven by data sharing. Patient-reported privacy preferences, privacy portability, and greater transparency around privacy-preserving functionalities are potential strategies for ensuring that privacy regulations are met and privacy is preserved. Georg Thieme Verlag KG Stuttgart.

The privacy implications of Bluetooth

OpenAIRE

Kostakos, Vassilis

2008-01-01

A substantial amount of research, as well as media hype, has surrounded RFID technology and its privacy implications. Currently, researchers and the media focus on the privacy threats posed by RFID, while consumer groups choose to boycott products bearing RFID tags. At the same, however, a very similar technology has quietly become part of our everyday lives: Bluetooth. In this paper we highlight the fact that Bluetooth is a widespread technology that has real privacy implications. Furthermor...

Privacy, confidentiality and abortion statistics: a question of public interest?

Science.gov (United States)

McHale, Jean V; Jones, June

2012-01-01

The precise nature and scope of healthcare confidentiality has long been the subject of debate. While the obligation of confidentiality is integral to professional ethical codes and is also safeguarded under English law through the equitable remedy of breach of confidence, underpinned by the right to privacy enshrined in Article 8 of the Human Rights Act 1998, it has never been regarded as absolute. But when can and should personal information be made available for statistical and research purposes and what if the information in question is highly sensitive information, such as that relating to the termination of pregnancy after 24 weeks? This article explores the case of In the Matter of an Appeal to the Information Tribunal under section 57 of the Freedom of Information Act 2000, concerning the decision of the Department of Health to withhold some statistical data from the publication of its annual abortion statistics. The specific data being withheld concerned the termination for serious fetal handicap under section 1(1)d of the Abortion Act 1967. The paper explores the implications of this case, which relate both to the nature and scope of personal privacy. It suggests that lessons can be drawn from this case about public interest and use of statistical information and also about general policy issues concerning the legal regulation of confidentiality and privacy in the future.

Genomics and privacy: implications of the new reality of closed data for the field.

Science.gov (United States)

Greenbaum, Dov; Sboner, Andrea; Mu, Xinmeng Jasmine; Gerstein, Mark

2011-12-01

Open source and open data have been driving forces in bioinformatics in the past. However, privacy concerns may soon change the landscape, limiting future access to important data sets, including personal genomics data. Here we survey this situation in some detail, describing, in particular, how the large scale of the data from personal genomic sequencing makes it especially hard to share data, exacerbating the privacy problem. We also go over various aspects of genomic privacy: first, there is basic identifiability of subjects having their genome sequenced. However, even for individuals who have consented to be identified, there is the prospect of very detailed future characterization of their genotype, which, unanticipated at the time of their consent, may be more personal and invasive than the release of their medical records. We go over various computational strategies for dealing with the issue of genomic privacy. One can "slice" and reformat datasets to allow them to be partially shared while securing the most private variants. This is particularly applicable to functional genomics information, which can be largely processed without variant information. For handling the most private data there are a number of legal and technological approaches-for example, modifying the informed consent procedure to acknowledge that privacy cannot be guaranteed, and/or employing a secure cloud computing environment. Cloud computing in particular may allow access to the data in a more controlled fashion than the current practice of downloading and computing on large datasets. Furthermore, it may be particularly advantageous for small labs, given that the burden of many privacy issues falls disproportionately on them in comparison to large corporations and genome centers. Finally, we discuss how education of future genetics researchers will be important, with curriculums emphasizing privacy and data security. However, teaching personal genomics with identifiable subjects in the

Genomics and privacy: implications of the new reality of closed data for the field.

Directory of Open Access Journals (Sweden)

Dov Greenbaum

2011-12-01

Full Text Available Open source and open data have been driving forces in bioinformatics in the past. However, privacy concerns may soon change the landscape, limiting future access to important data sets, including personal genomics data. Here we survey this situation in some detail, describing, in particular, how the large scale of the data from personal genomic sequencing makes it especially hard to share data, exacerbating the privacy problem. We also go over various aspects of genomic privacy: first, there is basic identifiability of subjects having their genome sequenced. However, even for individuals who have consented to be identified, there is the prospect of very detailed future characterization of their genotype, which, unanticipated at the time of their consent, may be more personal and invasive than the release of their medical records. We go over various computational strategies for dealing with the issue of genomic privacy. One can "slice" and reformat datasets to allow them to be partially shared while securing the most private variants. This is particularly applicable to functional genomics information, which can be largely processed without variant information. For handling the most private data there are a number of legal and technological approaches-for example, modifying the informed consent procedure to acknowledge that privacy cannot be guaranteed, and/or employing a secure cloud computing environment. Cloud computing in particular may allow access to the data in a more controlled fashion than the current practice of downloading and computing on large datasets. Furthermore, it may be particularly advantageous for small labs, given that the burden of many privacy issues falls disproportionately on them in comparison to large corporations and genome centers. Finally, we discuss how education of future genetics researchers will be important, with curriculums emphasizing privacy and data security. However, teaching personal genomics with

Social Media Users’ Legal Consciousness About Privacy

Directory of Open Access Journals (Sweden)

Katharine Sarikakis

2017-02-01

Full Text Available This article explores the ways in which the concept of privacy is understood in the context of social media and with regard to users’ awareness of privacy policies and laws in the ‘Post-Snowden’ era. In the light of presumably increased public exposure to privacy debates, generated partly due to the European “Right to be Forgotten” ruling and the Snowden revelations on mass surveillance, this article explores users’ meaning-making of privacy as a matter of legal dimension in terms of its violations and threats online and users’ ways of negotiating their Internet use, in particular social networking sites. Drawing on the concept of legal consciousness, this article explores through focus group interviews the ways in which social media users negotiate privacy violations and what role their understanding of privacy laws (or lack thereof might play in their strategies of negotiation. The findings are threefold: first, privacy is understood almost universally as a matter of controlling one’s own data, including information disclosure even to friends, and is strongly connected to issues about personal autonomy; second, a form of resignation with respect to control over personal data appears to coexist with a recognized need to protect one’s private data, while respondents describe conscious attempts to circumvent systems of monitoring or violation of privacy, and third, despite widespread coverage of privacy legal issues in the press, respondents’ concerns about and engagement in “self-protecting” tactics derive largely from being personally affected by violations of law and privacy.

31 CFR 0.216 - Privacy Act.

Science.gov (United States)

2010-07-01

... 31 Money and Finance: Treasury 1 2010-07-01 2010-07-01 false Privacy Act. 0.216 Section 0.216... RULES OF CONDUCT Rules of Conduct § 0.216 Privacy Act. Employees involved in the design, development, operation, or maintenance of any system of records or in maintaining records subject to the Privacy Act of...

Privacy-Related Context Information for Ubiquitous Health

Science.gov (United States)

Nykänen, Pirkko; Ruotsalainen, Pekka

2014-01-01

Background Ubiquitous health has been defined as a dynamic network of interconnected systems. A system is composed of one or more information systems, their stakeholders, and the environment. These systems offer health services to individuals and thus implement ubiquitous computing. Privacy is the key challenge for ubiquitous health because of autonomous processing, rich contextual metadata, lack of predefined trust among participants, and the business objectives. Additionally, regulations and policies of stakeholders may be unknown to the individual. Context-sensitive privacy policies are needed to regulate information processing. Objective Our goal was to analyze privacy-related context information and to define the corresponding components and their properties that support privacy management in ubiquitous health. These properties should describe the privacy issues of information processing. With components and their properties, individuals can define context-aware privacy policies and set their privacy preferences that can change in different information-processing situations. Methods Scenarios and user stories are used to analyze typical activities in ubiquitous health to identify main actors, goals, tasks, and stakeholders. Context arises from an activity and, therefore, we can determine different situations, services, and systems to identify properties for privacy-related context information in information-processing situations. Results Privacy-related context information components are situation, environment, individual, information technology system, service, and stakeholder. Combining our analyses and previously identified characteristics of ubiquitous health, more detailed properties for the components are defined. Properties define explicitly what context information for different components is needed to create context-aware privacy policies that can control, limit, and constrain information processing. With properties, we can define, for example, how

Employment Change and Business Prospects in Serbia

Directory of Open Access Journals (Sweden)

Kosovka Đ Ognjenovic

2013-11-01

Full Text Available The aim of this article is to examine whether some previous knowledge about business prospects affects companies’ decisions about new employment in Serbia. In order to investigate this assumption a set of firm level data for 2012 is used. Following the theoretical approach that put an employer in a position to make various decisions about employment within the company, the trichotomous logit model is employed for the estimation of outcomes of possible companies’ decisions with respect to a set of independent variables. We find that the level of employment in the year that precedes companies’ decisions and relative changes in the number of employees in two successive years, as well as age and size of the company to some extent, affect companies’ decisions about new employment. The most important finding of our research is that the companies that experienced fluctuations in the number of employees and upgraded their business opportunities in the previous period hesitate to make decisions on the engagement of new workers, whereas those companies that lost some business opportunities rather decide to downsize the total number of employees.

75 FR 28051 - Public Workshop: Pieces of Privacy

Science.gov (United States)

2010-05-19

... DEPARTMENT OF HOMELAND SECURITY Office of the Secretary Public Workshop: Pieces of Privacy AGENCY: Privacy Office, DHS. ACTION: Notice announcing public workshop. SUMMARY: The Department of Homeland Security Privacy Office will host a public workshop, ``Pieces of Privacy.'' DATES: The workshop will be...

Data Mining and Privacy of Social Network Sites' Users: Implications of the Data Mining Problem.

Science.gov (United States)

Al-Saggaf, Yeslam; Islam, Md Zahidul

2015-08-01

This paper explores the potential of data mining as a technique that could be used by malicious data miners to threaten the privacy of social network sites (SNS) users. It applies a data mining algorithm to a real dataset to provide empirically-based evidence of the ease with which characteristics about the SNS users can be discovered and used in a way that could invade their privacy. One major contribution of this article is the use of the decision forest data mining algorithm (SysFor) to the context of SNS, which does not only build a decision tree but rather a forest allowing the exploration of more logic rules from a dataset. One logic rule that SysFor built in this study, for example, revealed that anyone having a profile picture showing just the face or a picture showing a family is less likely to be lonely. Another contribution of this article is the discussion of the implications of the data mining problem for governments, businesses, developers and the SNS users themselves.

Scalable privacy-preserving data sharing methodology for genome-wide association studies: an application to iDASH healthcare privacy protection challenge.

Science.gov (United States)

Yu, Fei; Ji, Zhanglong

2014-01-01

In response to the growing interest in genome-wide association study (GWAS) data privacy, the Integrating Data for Analysis, Anonymization and SHaring (iDASH) center organized the iDASH Healthcare Privacy Protection Challenge, with the aim of investigating the effectiveness of applying privacy-preserving methodologies to human genetic data. This paper is based on a submission to the iDASH Healthcare Privacy Protection Challenge. We apply privacy-preserving methods that are adapted from Uhler et al. 2013 and Yu et al. 2014 to the challenge's data and analyze the data utility after the data are perturbed by the privacy-preserving methods. Major contributions of this paper include new interpretation of the χ2 statistic in a GWAS setting and new results about the Hamming distance score, a key component for one of the privacy-preserving methods.

Do Privacy Concerns Matter for Millennials?

DEFF Research Database (Denmark)

Fodor, Mark; Brem, Alexander

2015-01-01

data have raised the question, if location data are considered as sensitive data by users. Thus, we use two privacy concern models, namely Concern for Information Privacy (CFIP) and Internet Users’ Information Privacy Concerns (IUIPC) to find out. Our sample comprises of 235 individuals between 18...... and 34 years (Generation C) from Germany. The results of this study indicate that the second-order factor IUIPC showed better fit for the underlying data than CFIP did. Overall privacy concerns have been found to have an impact on behavioral intentions of users for LBS adoption. Furthermore, other risk...

Predicting user concerns about online privacy in Hong Kong.

Science.gov (United States)

Yao, Mike Z; Zhang, Jinguang

2008-12-01

Empirical studies on people's online privacy concerns have largely been conducted in the West. The global threat of privacy violations on the Internet calls for similar studies to be done in non-Western regions. To fill this void, the current study develops a path model to investigate the influence of people's Internet use-related factors, their beliefs in the right to privacy, and psychological need for privacy on Hong Kong people's concerns about online privacy. Survey responses from 332 university students were analyzed. Results from this study show that people's belief in the right to privacy was the most important predictor of their online privacy concerns. It also significantly mediated the relationship between people's psychological need for privacy and their concerns with privacy violations online. Moreover, while frequent use of the Internet may increase concerns about online privacy issues, Internet use diversity may actually reduce such worries. The final model, well supported by the observed data, successfully explained 25% of the variability in user concerns about online privacy.

Privacy Issues: Journalists Should Balance Need for Privacy with Need to Cover News.

Science.gov (United States)

Plopper, Bruce

1998-01-01

Notes that journalists have to balance their desire to print the news with personal rights to privacy. Argues that a working knowledge of ethics and law helps journalism students resolve such issues. Discusses ethical issues; legal aspects of privacy; and "training" administrators. Offers a list of questions to ask, six notable court…

The Regulatory Framework for Privacy and Security

Science.gov (United States)

Hiller, Janine S.

The internet enables the easy collection of massive amounts of personally identifiable information. Unregulated data collection causes distrust and conflicts with widely accepted principles of privacy. The regulatory framework in the United States for ensuring privacy and security in the online environment consists of federal, state, and self-regulatory elements. New laws have been passed to address technological and internet practices that conflict with privacy protecting policies. The United States and the European Union approaches to privacy differ significantly, and the global internet environment will likely cause regulators to face the challenge of balancing privacy interests with data collection for many years to come.

An anonymization technique using intersected decision trees

Directory of Open Access Journals (Sweden)

Sam Fletcher

2015-07-01

Full Text Available Data mining plays an important role in analyzing the massive amount of data collected in today’s world. However, due to the public’s rising awareness of privacy and lack of trust in organizations, suitable Privacy Preserving Data Mining (PPDM techniques have become vital. A PPDM technique provides individual privacy while allowing useful data mining. We present a novel noise addition technique called Forest Framework, two novel data quality evaluation techniques called EDUDS and EDUSC, and a security evaluation technique called SERS. Forest Framework builds a decision forest from a dataset and preserves all the patterns (logic rules of the forest while adding noise to the dataset. We compare Forest Framework to its predecessor, Framework, and another established technique, GADP. Our comparison is done using our three evaluation criteria, as well as Prediction Accuracy. Our experimental results demonstrate the success of our proposed extensions to Framework and the usefulness of our evaluation criteria.

Privacy-Preserving Trajectory Collection

DEFF Research Database (Denmark)

Gidofalvi, Gyozo; Xuegang, Huang; Pedersen, Torben Bach

2008-01-01

In order to provide context--aware Location--Based Services, real location data of mobile users must be collected and analyzed by spatio--temporal data mining methods. However, the data mining methods need precise location data, while the mobile users want to protect their location privacy....... To remedy this situation, this paper first formally defines novel location privacy requirements. Then, it briefly presents a system for privacy--preserving trajectory collection that meets these requirements. The system is composed of an untrusted server and clients communicating in a P2P network. Location...... data is anonymized in the system using data cloaking and data swapping techniques. Finally, the paper empirically demonstrates that the proposed system is effective and feasible....

Data Security and Privacy in Apps for Dementia: An Analysis of Existing Privacy Policies.

Science.gov (United States)

Rosenfeld, Lisa; Torous, John; Vahia, Ipsit V

2017-08-01

Despite tremendous growth in the number of health applications (apps), little is known about how well these apps protect their users' health-related data. This gap in knowledge is of particular concern for apps targeting people with dementia, whose cognitive impairment puts them at increased risk of privacy breaches. In this article, we determine how many dementia apps have privacy policies and how well they protect user data. Our analysis included all iPhone apps that matched the search terms "medical + dementia" or "health & fitness + dementia" and collected user-generated content. We evaluated all available privacy policies for these apps based on criteria that systematically measure how individual user data is handled. Seventy-two apps met the above search teams and collected user data. Of these, only 33 (46%) had an available privacy policy. Nineteen of the 33 with policies (58%) were specific to the app in question, and 25 (76%) specified how individual-user as opposed to aggregate data would be handled. Among these, there was a preponderance of missing information, the majority acknowledged collecting individual data for internal purposes, and most admitted to instances in which they would share user data with outside parties. At present, the majority of health apps focused on dementia lack a privacy policy, and those that do exist lack clarity. Bolstering safeguards and improving communication about privacy protections will help facilitate consumer trust in apps, thereby enabling more widespread and meaningful use by people with dementia and those involved in their care. Copyright © 2017. Published by Elsevier Inc.

Cyberbullying: Should Schools choose between Safety and Privacy?

Directory of Open Access Journals (Sweden)

Michael Laubscher

2015-12-01

Full Text Available In this theoretical article, we explore the tangled messiness of the application of human rights versus the 21st-century monster called "cyberbullying" in schools and focus on some of the challenges schools face daily. The research will reveal that cyberbullying victims were almost twice as likely to attempt suicide as youth who had not experienced cyberbullying, which implies that this is a phenomenon schools ought not to take lightly. We argue that everyone has a right to the freedom of expression, including in cyberspace, and begin by exploring how legal principles evolved in an attempt to deal with the limitations placed on an individual's right to freedom of expression. As we are about to reveal, though, matters become even more complicated when this freedom of expression relates to cyberspace, a space where users might have an expectation of privacy and even enjoy a state of anonymity. Clearly, the right to privacy and the right to freedom of expression need to be balanced and respected should school authorities be called upon to identify and discipline a cyberbully. This balancing act is one that needs to be investigated and carefully expounded upon, and is an issue that has not yet been sufficiently addressed in South Africa. Seeing that countries such as the United States of America and Canada have attempted to deal with this issue, it would be prudent to discuss the strides these countries have made, the challenges they have faced, and the insights they have gained, in an attempt to alert South Africa to the complex issues cyberbullying could raise. Working from this premise, this article will focus on the right to privacy, specifically in relation to Bill C-13 recently passed in Canada and the resultant Canadian Supreme Court decision in the case R v Spencer, a case that shed further light on the issue of privacy in cyberspace. We conclude the discussion by highlighting several potential pitfalls legislation such as Bill C-13 could

Client Privacy and the School Counselor: Privilege, Ethics, and Employer Policies.

Science.gov (United States)

Tompkins, Loren; Mehring, Teresa

1993-01-01

Notes that number of school counselors are confused about issues of confidentiality. Discusses issues of privileged communication, confidentiality, and employer policies. Concludes with section on law, ethics, employer policy, and the counselor. Provides six recommendations for school counselors to use in their day-to-day practice to avoid…

A Longitudinal Study of Work After Retirement: Examining Predictors of Bridge Employment, Continued Career Employment, and Retirement.

Science.gov (United States)

Bennett, Misty M; Beehr, Terry A; Lepisto, Lawrence R

2016-09-01

Older employees are increasingly accepting bridge employment, which occurs when older workers take employment for pay after they retire from their main career. This study examined predictors of workers' decisions to engage in bridge employment versus full retirement and career employment. A national sample of 482 older people in the United States was surveyed regarding various work-related and nonwork related predictors of retirement decisions, and their retirement status was measured 5 years later. In bivariate analyses, both work-related variables (career goal achievement and experienced pressure to retire) and nonwork-related variables (psychological distress and traditional gender role orientation) predicted taking bridge employment, but in multinomial logistic regression, only nonwork variables had unique effects. Few predictors differentiated the bridge employed and fully retired groups. Nonwork variables were salient in making the decision to retire, and bridge employment may be conceptually more similar to full retirement than to career employment. © The Author(s) 2016.

Privacy concerns, dead or misunderstood? : The perceptions of privacy amongst the young and old

NARCIS (Netherlands)

Steijn, Wouter; Vedder, Anton

2015-01-01

The concept of ‘privacy’ has become an important topic for academics and policy-makers. Ubiquitous computing and internet access raise new questions in relation to privacy in the virtual world, including individuals’ appreciation of privacy and how this can be safeguarded. This article contributes

Privacy in the Genomic Era

Science.gov (United States)

NAVEED, MUHAMMAD; AYDAY, ERMAN; CLAYTON, ELLEN W.; FELLAY, JACQUES; GUNTER, CARL A.; HUBAUX, JEAN-PIERRE; MALIN, BRADLEY A.; WANG, XIAOFENG

2015-01-01

Genome sequencing technology has advanced at a rapid pace and it is now possible to generate highly-detailed genotypes inexpensively. The collection and analysis of such data has the potential to support various applications, including personalized medical services. While the benefits of the genomics revolution are trumpeted by the biomedical community, the increased availability of such data has major implications for personal privacy; notably because the genome has certain essential features, which include (but are not limited to) (i) an association with traits and certain diseases, (ii) identification capability (e.g., forensics), and (iii) revelation of family relationships. Moreover, direct-to-consumer DNA testing increases the likelihood that genome data will be made available in less regulated environments, such as the Internet and for-profit companies. The problem of genome data privacy thus resides at the crossroads of computer science, medicine, and public policy. While the computer scientists have addressed data privacy for various data types, there has been less attention dedicated to genomic data. Thus, the goal of this paper is to provide a systematization of knowledge for the computer science community. In doing so, we address some of the (sometimes erroneous) beliefs of this field and we report on a survey we conducted about genome data privacy with biomedical specialists. Then, after characterizing the genome privacy problem, we review the state-of-the-art regarding privacy attacks on genomic data and strategies for mitigating such attacks, as well as contextualizing these attacks from the perspective of medicine and public policy. This paper concludes with an enumeration of the challenges for genome data privacy and presents a framework to systematize the analysis of threats and the design of countermeasures as the field moves forward. PMID:26640318

Privacy in the Genomic Era.

Science.gov (United States)

Naveed, Muhammad; Ayday, Erman; Clayton, Ellen W; Fellay, Jacques; Gunter, Carl A; Hubaux, Jean-Pierre; Malin, Bradley A; Wang, Xiaofeng

2015-09-01

Genome sequencing technology has advanced at a rapid pace and it is now possible to generate highly-detailed genotypes inexpensively. The collection and analysis of such data has the potential to support various applications, including personalized medical services. While the benefits of the genomics revolution are trumpeted by the biomedical community, the increased availability of such data has major implications for personal privacy; notably because the genome has certain essential features, which include (but are not limited to) (i) an association with traits and certain diseases, (ii) identification capability (e.g., forensics), and (iii) revelation of family relationships. Moreover, direct-to-consumer DNA testing increases the likelihood that genome data will be made available in less regulated environments, such as the Internet and for-profit companies. The problem of genome data privacy thus resides at the crossroads of computer science, medicine, and public policy. While the computer scientists have addressed data privacy for various data types, there has been less attention dedicated to genomic data. Thus, the goal of this paper is to provide a systematization of knowledge for the computer science community. In doing so, we address some of the (sometimes erroneous) beliefs of this field and we report on a survey we conducted about genome data privacy with biomedical specialists. Then, after characterizing the genome privacy problem, we review the state-of-the-art regarding privacy attacks on genomic data and strategies for mitigating such attacks, as well as contextualizing these attacks from the perspective of medicine and public policy. This paper concludes with an enumeration of the challenges for genome data privacy and presents a framework to systematize the analysis of threats and the design of countermeasures as the field moves forward.

Comparative Approaches to Biobanks and Privacy.

Science.gov (United States)

Rothstein, Mark A; Knoppers, Bartha Maria; Harrell, Heather L

2016-03-01

Laws in the 20 jurisdictions studied for this project display many similar approaches to protecting privacy in biobank research. Although few have enacted biobank-specific legislation, many countries address biobanking within other laws. All provide for some oversight mechanisms for biobank research, even though the nature of that oversight varies between jurisdictions. Most have some sort of controlled access system in place for research with biobank specimens. While broad consent models facilitate biobanking, countries without national or federated biobanks have been slow to adopt broad consent. International guidelines have facilitated sharing and generally take a proportional risk approach, but many countries have provisions guiding international sharing and a few even limit international sharing. Although privacy laws may not prohibit international collaborations, the multi-prong approach to privacy unique to each jurisdiction can complicate international sharing. These symposium issues can serve as a resource for explaining the sometimes intricate privacy laws in each studied jurisdiction, outlining the key issues with regards to privacy and biobanking, and serving to describe a framework for the process of harmonization of privacy laws. © 2016 American Society of Law, Medicine & Ethics.

Privacy Implications of Surveillance Systems

DEFF Research Database (Denmark)

Thommesen, Jacob; Andersen, Henning Boje

2009-01-01

This paper presents a model for assessing the privacy „cost‟ of a surveillance system. Surveillance systems collect and provide personal information or observations of people by means of surveillance technologies such as databases, video or location tracking. Such systems can be designed for vari......This paper presents a model for assessing the privacy „cost‟ of a surveillance system. Surveillance systems collect and provide personal information or observations of people by means of surveillance technologies such as databases, video or location tracking. Such systems can be designed...... for various purposes, even as a service for those being observed, but in any case they will to some degree invade their privacy. The model provided here can indicate how invasive any particular system may be – and be used to compare the invasiveness of different systems. Applying a functional approach......, the model is established by first considering the social function of privacy in everyday life, which in turn lets us determine which different domains will be considered as private, and finally identify the different types of privacy invasion. This underlying model (function – domain – invasion) then serves...

Privacy in Digital Age: Dead or Alive?! Regarding the New EU Data Protection Regulations

Directory of Open Access Journals (Sweden)

Seyed Ebrahim Dorraji

2015-02-01

Full Text Available Purpose – To review and critically discuss the current state of privacy in the context of constant technological changes and to emphasize the pace of technological advancements and developments reached over the time when the last EU data protection laws came into effect. These facts inevitably affect the perception of privacy and raise the question of whether privacy is dead or takes the last breath in the digital age? This paper is an attempt to address this question.Design/Methodology/Approach – Based on the comparison and systematic analysis of scientific literature, the authors discuss problematic issues related to privacy and data protection in the technology era – where these issues are too complicated to be clearly regulated by laws and rules since “laws move as a function of years and technology moves as a function of months” (Ron Rivest. Therefore, this analytical approach towards the issue may help to facilitate reaching the best-fit decision in this area.Findings – The authors emphasize the change of perception of privacy, which originated and grew on the idea of “an integral part of our humanity”, the “heart of our liberty” and “the beginning of all freedoms” (Solove, 2008, leading to the recently raised idea that privacy is severely hanging with threat. The authors are of the opinion that legislation and regulation may be one of the best and effective techniques for protecting privacy in the twenty-first century, but it is not currently adequate (Wacks, 2012. One of the solutions lies in technology design.Research limitations/implications – The aspects of privacy and data protection in the European Union have been widely discussed recently because of their broad applicability. Therefore, it is hardly possible to review and cover all the important aspects of the issue. This article focuses on the roles of technology and legislation in securing privacy. The authors examine and provide their own views based on

Privacy and the Connected Society

DEFF Research Database (Denmark)

Sørensen, Lene Tolstrup; Khajuria, Samant; Skouby, Knud Erik

The Vision of the 5G enabled connected society is highly based on the evolution and implementation of Internet of Things. This involves, amongst others, a significant raise in devices, sensors and communication in pervasive interconnections as well as cooperation amongst devices and entities across...... the society. Enabling the vision of the connected society, researchers point in the direction of security and privacy as areas to challenge the vision. By use of the Internet of Things reference model as well as the vision of the connected society, this paper identifies privacy of the individual with respect...... to three selected areas: Shopping, connected cars and online gaming. The paper concludes that privacy is a complexity within the connected society vision and that thee is a need for more privacy use cases to shed light on the challenge....

Privacy-preserving Kruskal-Wallis test.

Science.gov (United States)

Guo, Suxin; Zhong, Sheng; Zhang, Aidong

2013-10-01

Statistical tests are powerful tools for data analysis. Kruskal-Wallis test is a non-parametric statistical test that evaluates whether two or more samples are drawn from the same distribution. It is commonly used in various areas. But sometimes, the use of the method is impeded by privacy issues raised in fields such as biomedical research and clinical data analysis because of the confidential information contained in the data. In this work, we give a privacy-preserving solution for the Kruskal-Wallis test which enables two or more parties to coordinately perform the test on the union of their data without compromising their data privacy. To the best of our knowledge, this is the first work that solves the privacy issues in the use of the Kruskal-Wallis test on distributed data. Copyright © 2013 Elsevier Ireland Ltd. All rights reserved.

Negotiating privacy in surveillant welfare relations

DEFF Research Database (Denmark)

Andersen, Lars Bo; Lauritsen, Peter; Bøge, Ask Risom

. However, while privacy is central to debates of surveillance, it has proven less productive as an analytical resource for studying surveillance in practice. Consequently, this paper reviews different conceptualisations of privacy in relation to welfare and surveillance and argues for strengthening...... the analytical capacity of the concept by rendering it a situated and relational concept. The argument is developed through a research and design project called Teledialogue meant to improve the relation between case managers and children placed at institutions or in foster families. Privacy in Teledialogue...... notion of privacy are discussed in relation to both research- and public debates on surveillance in a welfare setting....

32 CFR 311.7 - OSD/JS Privacy Office Processes.

Science.gov (United States)

2010-07-01

... 32 National Defense 2 2010-07-01 2010-07-01 false OSD/JS Privacy Office Processes. 311.7 Section...) PRIVACY PROGRAM OFFICE OF THE SECRETARY OF DEFENSE AND JOINT STAFF PRIVACY PROGRAM § 311.7 OSD/JS Privacy Office Processes. The OSD/JS Privacy Office shall: (a) Exercise oversight and administrative control of...

32 CFR 701.101 - Privacy program terms and definitions.

Science.gov (United States)

2010-07-01

... from a project on privacy issues, identifying and resolving the privacy risks, and approval by a... 32 National Defense 5 2010-07-01 2010-07-01 false Privacy program terms and definitions. 701.101... DEPARTMENT OF THE NAVY DOCUMENTS AFFECTING THE PUBLIC DON Privacy Program § 701.101 Privacy program terms and...

An informational theory of privacy

NARCIS (Netherlands)

Schottmuller, C.; Jann, Ole

2016-01-01

We develop a theory that explains how and when privacy can increase welfare. Without privacy, some individuals misrepresent their preferences, because they will otherwise be statistically discriminated against. This "chilling effect" hurts them individually, and impairs information aggregation. The

45 CFR 503.2 - General policies-Privacy Act.

Science.gov (United States)

2010-10-01

... 45 Public Welfare 3 2010-10-01 2010-10-01 false General policies-Privacy Act. 503.2 Section 503.2... THE UNITED STATES, DEPARTMENT OF JUSTICE RULES OF PRACTICE PRIVACY ACT AND GOVERNMENT IN THE SUNSHINE REGULATIONS Privacy Act Regulations § 503.2 General policies—Privacy Act. The Commission will protect the...

SmartPrivacy for the smart grid : embedding privacy into the design of electricity conservation

Energy Technology Data Exchange (ETDEWEB)

Cavoukian, A. [Ontario Information and Privacy Commissioner, Toronto, ON (Canada); Polonetsky, J.; Wolf, C. [Future of Privacy Forum, Washington, DC (United States)

2009-11-15

Modernization efforts are underway to make the current electrical grid smarter. The future of the Smart Grid will be capable of informing consumers of their day-to-day energy use, curbing greenhouse gas emissions, and reducing consumers' energy bills. However, the Smart Grid also brings with it the possibility of collecting detailed information on individual energy consumption use and patterns within peoples' homes. This paper discussed the Smart Grid and its benefits, as well as the questions that should be examined regarding privacy. The paper also outlined the concept of SmartPrivacy and discussed its application to the Smart Grid scenario. Privacy by design foundational principles and Smart Grid components were also presented in an appendix. It was concluded that the information collected on a Smart Grid will form a library of personal information. The mishandling of this information could be extremely invasive of consumer privacy. 46 refs., 1 fig., 2 appendices.

16 CFR 313.2 - Model privacy form and examples.

Science.gov (United States)

2010-01-01

... 16 Commercial Practices 1 2010-01-01 2010-01-01 false Model privacy form and examples. 313.2... PRIVACY OF CONSUMER FINANCIAL INFORMATION § 313.2 Model privacy form and examples. (a) Model privacy form..., although use of the model privacy form is not required. (b) Examples. The examples in this part are not...

Preserving differential privacy under finite-precision semantics.

Directory of Open Access Journals (Sweden)

Ivan Gazeau

2013-06-01

Full Text Available The approximation introduced by finite-precision representation of continuous data can induce arbitrarily large information leaks even when the computation using exact semantics is secure. Such leakage can thus undermine design efforts aimed at protecting sensitive information. We focus here on differential privacy, an approach to privacy that emerged from the area of statistical databases and is now widely applied also in other domains. In this approach, privacy is protected by the addition of noise to a true (private value. To date, this approach to privacy has been proved correct only in the ideal case in which computations are made using an idealized, infinite-precision semantics. In this paper, we analyze the situation at the implementation level, where the semantics is necessarily finite-precision, i.e. the representation of real numbers and the operations on them, are rounded according to some level of precision. We show that in general there are violations of the differential privacy property, and we study the conditions under which we can still guarantee a limited (but, arguably, totally acceptable variant of the property, under only a minor degradation of the privacy level. Finally, we illustrate our results on two cases of noise-generating distributions: the standard Laplacian mechanism commonly used in differential privacy, and a bivariate version of the Laplacian recently introduced in the setting of privacy-aware geolocation.

Future perspectives toward the early definition of a multivariate decision-support scheme employed in clinical decision making for senior citizens.

Science.gov (United States)

Frantzidis, Christos A; Gilou, Sotiria; Billis, Antonis; Karagianni, Maria; Bratsas, Charalampos D; Bamidis, Panagiotis

2016-03-01

Recent neuroscientific studies focused on the identification of pathological neurophysiological patterns (emotions, geriatric depression, memory impairment and sleep disturbances) through computerised clinical decision-support systems. Almost all these research attempts employed either resting-state condition (e.g. eyes-closed) or event-related potentials extracted during a cognitive task known to be affected by the disease under consideration. This Letter reviews existing data mining techniques and aims to enhance their robustness by proposing a holistic decision framework dealing with comorbidities and early symptoms' identification, while it could be applied in realistic occasions. Multivariate features are elicited and fused in order to be compared with average activities characteristic of each neuropathology group. A proposed model of the specific cognitive function which may be based on previous findings (a priori information) and/or validated by current experimental data should be then formed. So, the proposed scheme facilitates the early identification and prevention of neurodegenerative phenomena. Neurophysiological semantic annotation is hypothesised to enhance the importance of the proposed framework in facilitating the personalised healthcare of the information society and medical informatics research community.

Women's Decisions about Breastfeeding and Maternal Employment.

Science.gov (United States)

Lindberg, Laura Duberstein

1996-01-01

Extends the concept of role incompatibility to examine potential incompatibilities between breastfeeding and maternal employment. Hypothesizes women may face both structural and attitudinal conflicts between these behaviors. Found significantly more women employed part-time are likely to breastfeed and for longer durations than women employed…

Australian dentists: characteristics of those who employ or are willing to employ oral health therapists.

Science.gov (United States)

Kempster, C; Luzzi, L; Roberts-Thomson, K

2015-06-01

There has been an increase in the availability of oral health therapists (OHTs) in the oral health workforce in the last decade. The impact these clinicians will have on the oral health of the general public is dependent on access pathways and utilization. This study aimed to profile Australian dentists who employ or are willing to employ OHTs and to explore the degree of association between dentist characteristics and employment decisions. This cross-sectional study used a random sample of Australian dentists (n = 1169) from the Federal Australian Dental Association register in 2009. Participants were sent a postal questionnaire capturing dentist characteristics and oral health practitioner employment information. An adjusted response rate of 55% was obtained. Dentists willing to employ OHTs included non-metropolitan dentists, dentists in multiple surgery practices and those considering practice expansion. Age, gender and sector of practice were not significantly associated with retrospective employment decisions or willingness to employ in the future. Certain characteristics of dentists or of their practice are associated with their history of employment and willingness to employ OHTs. Employment decisions are more commonly related to entrepreneurial aspirations (expressed as a willingness to expand), sector of practice, surgery capacity and regionality over gender and age. Understanding the factors that influence the employment of OHTs is important in enhancing access pathways to the services provided by OHTs. © 2015 Australian Dental Association.

A Privacy Model for RFID Tag Ownership Transfer

Directory of Open Access Journals (Sweden)

Xingchun Yang

2017-01-01

Full Text Available The ownership of RFID tag is often transferred from one owner to another in its life cycle. To address the privacy problem caused by tag ownership transfer, we propose a tag privacy model which captures the adversary’s abilities to get secret information inside readers, to corrupt tags, to authenticate tags, and to observe tag ownership transfer processes. This model gives formal definitions for tag forward privacy and backward privacy and can be used to measure the privacy property of tag ownership transfer scheme. We also present a tag ownership transfer scheme, which is privacy-preserving under the proposed model and satisfies the other common security requirements, in addition to achieving better performance.

12 CFR 716.2 - Model privacy form and examples.

Science.gov (United States)

2010-01-01

... 12 Banks and Banking 6 2010-01-01 2010-01-01 false Model privacy form and examples. 716.2 Section... PRIVACY OF CONSUMER FINANCIAL INFORMATION § 716.2 Model privacy form and examples. (a) Model privacy form..., although use of the model privacy form is not required. (b) Examples. The examples in this part are not...

Privacy-preserving distributed clustering

DEFF Research Database (Denmark)

Erkin, Zekeriya; Veugen, Thijs; Toft, Tomas

2013-01-01

with any other entity, including the service provider. Such privacy concerns lead to trust issues between entities, which clearly damages the functioning of the service and even blocks cooperation between entities with similar data sets. To enable joint efforts with private data, we propose a protocol......, or in some cases, information from different databases is pooled to enrich the data so that the merged database can improve the clustering effort. However, in either case, the content of the database may be privacy sensitive and/or commercially valuable such that the owners may not want to share their data...... provider with computations. Experimental results clearly indicate that the work we present is an efficient way of deploying a privacy-preserving clustering algorithm in a distributed manner....

Culture, Privacy Conception and Privacy Concern: Evidence from Europe before PRISM

OpenAIRE

Omrani, Nessrine; Soulié, Nicolas

2017-01-01

This article analyses individuals’ online privacy concerns between cultural country groups. We use a dataset of more than 14 000 Internet users collected by the European Union in 2010 in 26 EU countries. We use a probit model to examine the variables associated with the probability of being concerned about privacy, in order to draw policy and regulatory implications. The results show that women and poor people are more concerned than their counterparts. People who often use Internet are not p...

Teachers' Facebook Use: Their Use Habits, Intensity, Self-Disclosure, Privacy Settings, and Activities on Facebook

Science.gov (United States)

Sumuer, Evren; Esfer, Sezin; Yildirim, Soner

2014-01-01

This study investigated K12 teachers' Facebook usage habits, intensity, self-disclosure, privacy settings and activities. A multi-method design was employed by collecting quantitative data from 616 teachers with a Facebook account using an online questionnaire and qualitative data from 32 teachers using online open-ended questions. The results of…

Genetic testing in the workplace: the employer's coin toss.

Science.gov (United States)

French, Samantha

2002-09-05

A toss of the coin by the modern-day employer reveals two options regarding genetic testing in the workplace. The employer may choose to take advantage of increasingly precise, available, and affordable genetic testing in order to ascertain the genetic characteristics--and deficiencies--of its employees. This outcome exposes the employer to a vast array of potential litigation and liability relating to the Americans with Disabilities Act, the Fourth Amendment, Title VII of the Civil Rights Act, and state legislation designed to protect genetic privacy. Alternatively, the employer may neglect to indulge in this trend of genetic testing and may face liability for employer negligence, violations of federal legislation such as OSHA regulations, and increased costs associated with insuring the health of genetically endangered employees. In the rapidly developing universe of genetic intelligence, the employer is faced with a staggering dilemma.

Guaranteeing Privacy-Observing Data Exchange

DEFF Research Database (Denmark)

Probst, Christian W.

2016-01-01

Privacy is a major concern in large of parts of the world when exchanging information. Ideally, we would like to be able to have fine-grained control about how information that we deem sensitive can be propagated and used. While privacy policy languages exist, it is not possible to control whether...... the entity that receives data is living up to its own policy specification. In this work we present our initial work on an approach that empowers data owners to specify their privacy preferences, and data consumers to specify their data needs. Using a static analysis of the two specifications, our approach...... then finds a communication scheme that complies with these preferences and needs. While applicable to online transactions, the same techniques can be used in development of IT systems dealing with sensitive data. To the best of our knowledge, no existing privacy policy languages supports negotiation...

Privacy and policy for genetic research.

Science.gov (United States)

DeCew, Judith Wagner

2004-01-01

I begin with a discussion of the value of privacy and what we lose without it. I then turn to the difficulties of preserving privacy for genetic information and other medical records in the face of advanced information technology. I suggest three alternative public policy approaches to the problem of protecting individual privacy and also preserving databases for genetic research: (1) governmental guidelines and centralized databases, (2) corporate self-regulation, and (3) my hybrid approach. None of these are unproblematic; I discuss strengths and drawbacks of each, emphasizing the importance of protecting the privacy of sensitive medical and genetic information as well as letting information technology flourish to aid patient care, public health and scientific research.

Are personal health records safe? A review of free web-accessible personal health record privacy policies.

Science.gov (United States)

Carrión Señor, Inmaculada; Fernández-Alemán, José Luis; Toval, Ambrosio

2012-08-23

Several obstacles prevent the adoption and use of personal health record (PHR) systems, including users' concerns regarding the privacy and security of their personal health information. To analyze the privacy and security characteristics of PHR privacy policies. It is hoped that identification of the strengths and weaknesses of the PHR systems will be useful for PHR users, health care professionals, decision makers, and designers. We conducted a systematic review using the principal databases related to health and computer science to discover the Web-based and free PHR systems mentioned in published articles. The privacy policy of each PHR system selected was reviewed to extract its main privacy and security characteristics. The search of databases and the myPHR website provided a total of 52 PHR systems, of which 24 met our inclusion criteria. Of these, 17 (71%) allowed users to manage their data and to control access to their health care information. Only 9 (38%) PHR systems permitted users to check who had accessed their data. The majority of PHR systems used information related to the users' accesses to monitor and analyze system use, 12 (50%) of them aggregated user information to publish trends, and 20 (83%) used diverse types of security measures. Finally, 15 (63%) PHR systems were based on regulations or principles such as the US Health Insurance Portability and Accountability Act (HIPAA) and the Health on the Net Foundation Code of Conduct (HONcode). Most privacy policies of PHR systems do not provide an in-depth description of the security measures that they use. Moreover, compliance with standards and regulations in PHR systems is still low.

Achieving Network Level Privacy in Wireless Sensor Networks†

Science.gov (United States)

Shaikh, Riaz Ahmed; Jameel, Hassan; d’Auriol, Brian J.; Lee, Heejo; Lee, Sungyoung; Song, Young-Jae

2010-01-01

Full network level privacy has often been categorized into four sub-categories: Identity, Route, Location and Data privacy. Achieving full network level privacy is a critical and challenging problem due to the constraints imposed by the sensor nodes (e.g., energy, memory and computation power), sensor networks (e.g., mobility and topology) and QoS issues (e.g., packet reach-ability and timeliness). In this paper, we proposed two new identity, route and location privacy algorithms and data privacy mechanism that addresses this problem. The proposed solutions provide additional trustworthiness and reliability at modest cost of memory and energy. Also, we proved that our proposed solutions provide protection against various privacy disclosure attacks, such as eavesdropping and hop-by-hop trace back attacks. PMID:22294881

FCJ-195 Privacy, Responsibility, and Human Rights Activism

Directory of Open Access Journals (Sweden)

Becky Kazansky

2015-06-01

Full Text Available In this article, we argue that many difficulties associated with the protection of digital privacy are rooted in the framing of privacy as a predominantly individual responsibility. We examine how models of privacy protection, such as Notice and Choice, contribute to the ‘responsibilisation’ of human rights activists who rely on the use of technologies for their work. We also consider how a group of human rights activists countered technology-mediated threats that this ‘responsibilisation’ causes by developing a collective approach to address their digital privacy and security needs. We conclude this article by discussing how technological tools used to maintain or counter the loss of privacy can be improved in order to support the privacy and digital security of human rights activists.

Achieving Network Level Privacy in Wireless Sensor Networks

Directory of Open Access Journals (Sweden)

Sungyoung Lee

2010-02-01

Full Text Available Full network level privacy has often been categorized into four sub-categories: Identity, Route, Location and Data privacy. Achieving full network level privacy is a critical and challenging problem due to the constraints imposed by the sensor nodes (e.g., energy, memory and computation power, sensor networks (e.g., mobility and topology and QoS issues (e.g., packet reach-ability and timeliness. In this paper, we proposed two new identity, route and location privacy algorithms and data privacy mechanism that addresses this problem. The proposed solutions provide additional trustworthiness and reliability at modest cost of memory and energy. Also, we proved that our proposed solutions provide protection against various privacy disclosure attacks, such as eavesdropping and hop-by-hop trace back attacks.

Digital privacy in the marketplace perspectives on the information exchange

CERN Document Server

Milne, George

2015-01-01

Digital Privacy in the Marketplace focuses on the data ex-changes between marketers and consumers, with special ttention to the privacy challenges that are brought about by new information technologies. The purpose of this book is to provide a background source to help the reader think more deeply about the impact of privacy issues on both consumers and marketers. It covers topics such as: why privacy is needed, the technological, historical and academic theories of privacy, how market exchange af-fects privacy, what are the privacy harms and protections available, and what is the likely future of privacy.

48 CFR 352.224-70 - Privacy Act.

Science.gov (United States)

2010-10-01

... 48 Federal Acquisition Regulations System 4 2010-10-01 2010-10-01 false Privacy Act. 352.224-70... SOLICITATION PROVISIONS AND CONTRACT CLAUSES Texts of Provisions and Clauses 352.224-70 Privacy Act. As prescribed in 324.103(b)(2), the Contracting Officer shall insert the following clause: Privacy Act (January...

Access to Information and Privacy | IDRC - International ...

International Development Research Centre (IDRC) Digital Library (Canada)

As a Crown corporation, IDRC is subject to Canada's laws on access to information and privacy protection. The following resources will help you learn more about IDRC and the access to information and privacy acts, including instructions for submitting an access to information or privacy act (ATIP) request. IDRC and ATIP ...

PRIVACY PROTECTION PROBLEMS IN SOCIAL NETWORKS

OpenAIRE

OKUR, M. Cudi

2011-01-01

Protecting privacy has become a major concern for most social network users because of increased difficulties of controlling the online data. This article presents an assessment of the common privacy related risks of social networking sites. Open and hidden privacy risks of active and passive online profiles are examined and increasing share of social networking in these phenomena is discussed. Inadequacy of available legal and institutional protection is demonstrated and the effectiveness of...

Facebook: Personality and privacy on profiles

OpenAIRE

Casado Riera, Carla; Oberst, Ursula; Carbonell, Xavier

2015-01-01

The aim of this study was to study the possible relationship between the privacy settings in Facebook profiles and two personality dimensions, extraversion and neuroticism, in relation to gender. The Privacy on Facebook Questionnaire and the Eysenck Personality Inventory was applied to a sample of 92 womenand 70 men, all users of Facebook. No significant relationship was found between extraversion or neuroticism and the privacy settings of Facebook profiles, but the results showed significant...

New threats to health data privacy.

Science.gov (United States)

Li, Fengjun; Zou, Xukai; Liu, Peng; Chen, Jake Y

2011-11-24

Along with the rapid digitalization of health data (e.g. Electronic Health Records), there is an increasing concern on maintaining data privacy while garnering the benefits, especially when the data are required to be published for secondary use. Most of the current research on protecting health data privacy is centered around data de-identification and data anonymization, which removes the identifiable information from the published health data to prevent an adversary from reasoning about the privacy of the patients. However, published health data is not the only source that the adversaries can count on: with a large amount of information that people voluntarily share on the Web, sophisticated attacks that join disparate information pieces from multiple sources against health data privacy become practical. Limited efforts have been devoted to studying these attacks yet. We study how patient privacy could be compromised with the help of today's information technologies. In particular, we show that private healthcare information could be collected by aggregating and associating disparate pieces of information from multiple online data sources including online social networks, public records and search engine results. We demonstrate a real-world case study to show user identity and privacy are highly vulnerable to the attribution, inference and aggregation attacks. We also show that people are highly identifiable to adversaries even with inaccurate information pieces about the target, with real data analysis. We claim that too much information has been made available electronic and available online that people are very vulnerable without effective privacy protection.

New threats to health data privacy

Directory of Open Access Journals (Sweden)

Li Fengjun

2011-11-01

Full Text Available Abstract Background Along with the rapid digitalization of health data (e.g. Electronic Health Records, there is an increasing concern on maintaining data privacy while garnering the benefits, especially when the data are required to be published for secondary use. Most of the current research on protecting health data privacy is centered around data de-identification and data anonymization, which removes the identifiable information from the published health data to prevent an adversary from reasoning about the privacy of the patients. However, published health data is not the only source that the adversaries can count on: with a large amount of information that people voluntarily share on the Web, sophisticated attacks that join disparate information pieces from multiple sources against health data privacy become practical. Limited efforts have been devoted to studying these attacks yet. Results We study how patient privacy could be compromised with the help of today’s information technologies. In particular, we show that private healthcare information could be collected by aggregating and associating disparate pieces of information from multiple online data sources including online social networks, public records and search engine results. We demonstrate a real-world case study to show user identity and privacy are highly vulnerable to the attribution, inference and aggregation attacks. We also show that people are highly identifiable to adversaries even with inaccurate information pieces about the target, with real data analysis. Conclusion We claim that too much information has been made available electronic and available online that people are very vulnerable without effective privacy protection.

Ambiguity in Social Network Data for Presence, Sensitive-Attribute, Degree and Relationship Privacy Protection.

Science.gov (United States)

Rajaei, Mehri; Haghjoo, Mostafa S; Miyaneh, Eynollah Khanjari

2015-01-01

Maintaining privacy in network data publishing is a major challenge. This is because known characteristics of individuals can be used to extract new information about them. Recently, researchers have developed privacy methods based on k-anonymity and l-diversity to prevent re-identification or sensitive label disclosure through certain structural information. However, most of these studies have considered only structural information and have been developed for undirected networks. Furthermore, most existing approaches rely on generalization and node clustering so may entail significant information loss as all properties of all members of each group are generalized to the same value. In this paper, we introduce a framework for protecting sensitive attribute, degree (the number of connected entities), and relationships, as well as the presence of individuals in directed social network data whose nodes contain attributes. First, we define a privacy model that specifies privacy requirements for the above private information. Then, we introduce the technique of Ambiguity in Social Network data (ASN) based on anatomy, which specifies how to publish social network data. To employ ASN, individuals are partitioned into groups. Then, ASN publishes exact values of properties of individuals of each group with common group ID in several tables. The lossy join of those tables based on group ID injects uncertainty to reconstruct the original network. We also show how to measure different privacy requirements in ASN. Simulation results on real and synthetic datasets demonstrate that our framework, which protects from four types of private information disclosure, preserves data utility in tabular, topological and spectrum aspects of networks at a satisfactory level.

PrivateRide: A Privacy-Enhanced Ride-Hailing Service

Directory of Open Access Journals (Sweden)

Pham Anh

2017-04-01

Full Text Available In the past few years, we have witnessed a rise in the popularity of ride-hailing services (RHSs, an online marketplace that enables accredited drivers to use their own cars to drive ride-hailing users. Unlike other transportation services, RHSs raise significant privacy concerns, as providers are able to track the precise mobility patterns of millions of riders worldwide. We present the first survey and analysis of the privacy threats in RHSs. Our analysis exposes high-risk privacy threats that do not occur in conventional taxi services. Therefore, we propose PrivateRide, a privacy-enhancing and practical solution that offers anonymity and location privacy for riders, and protects drivers’ information from harvesting attacks. PrivateRide lowers the high-risk privacy threats in RHSs to a level that is at least as low as that of many taxi services. Using real data-sets from Uber and taxi rides, we show that PrivateRide significantly enhances riders’ privacy, while preserving tangible accuracy in ride matching and fare calculation, with only negligible effects on convenience. Moreover, by using our Android implementation for experimental evaluations, we show that PrivateRide’s overhead during ride setup is negligible. In short, we enable privacy-conscious riders to achieve levels of privacy that are not possible in current RHSs and even in some conventional taxi services, thereby offering a potential business differentiator.

Privacy Practices of Health Social Networking Sites: Implications for Privacy and Data Security in Online Cancer Communities.

Science.gov (United States)

Charbonneau, Deborah H

2016-08-01

While online communities for social support continue to grow, little is known about the state of privacy practices of health social networking sites. This article reports on a structured content analysis of privacy policies and disclosure practices for 25 online ovarian cancer communities. All of the health social networking sites in the study sample provided privacy statements to users, yet privacy practices varied considerably across the sites. The majority of sites informed users that personal information was collected about participants and shared with third parties (96%, n = 24). Furthermore, more than half of the sites (56%, n = 14) stated that cookies technology was used to track user behaviors. Despite these disclosures, only 36% (n = 9) offered opt-out choices for sharing data with third parties. In addition, very few of the sites (28%, n = 7) allowed individuals to delete their personal information. Discussions about specific security measures used to protect personal information were largely missing. Implications for privacy, confidentiality, consumer choice, and data safety in online environments are discussed. Overall, nurses and other health professionals can utilize these findings to encourage individuals seeking online support and participating in social networking sites to build awareness of privacy risks to better protect their personal health information in the digital age.

Sexiled: Privacy Acquisition Strategies of College Roommates

Science.gov (United States)

Erlandson, Karen

2014-01-01

This study sought to understand how roommates make privacy bids in college residence halls. The results indicate that privacy for sexual activity is a problem for students living in college residence halls, as almost all participants (82%) reported having dealt with this issue. Two sets of responses were collected and analyzed: privacy acquisition…

Privacy and CHI : methodologies for studying privacy issues

NARCIS (Netherlands)

Patil, S.; Romero, N.A.; Karat, J.

2006-01-01

This workshop aims to reflect on methodologies to empirically study privacy issues related to advanced technology. The goal is to address methodological concerns by drawing upon both theoretical perspectives as well as practical experiences.

Patient Privacy in the Era of Big Data

Directory of Open Access Journals (Sweden)

Mehmet Kayaalp

2018-02-01

Full Text Available Protecting patient privacy requires various technical tools. It involves regulations for sharing, de-identifying, securely storing, transmitting and handling protected health information (PHI. It involves privacy laws and legal agreements. It requires establishing rules for monitoring privacy leaks, determining actions when they occur, and handling de-identified clinical narrative reports. Deidentification is one such indispensable instrument in this set of privacy tools

Biobanking and Privacy in India.

Science.gov (United States)

Chaturvedi, Sachin; Srinivas, Krishna Ravi; Muthuswamy, Vasantha

2016-03-01

Biobank-based research is not specifically addressed in Indian statutory law and therefore Indian Council for Medical Research guidelines are the primary regulators of biobank research in India. The guidelines allow for broad consent and for any level of identification of specimens. Although privacy is a fundamental right under the Indian Constitution, courts have limited this right when it conflicts with other rights or with the public interest. Furthermore, there is no established privacy test or actionable privacy right in the common law of India. In order to facilitate biobank-based research, both of these lacunae should be addressed by statutory law specifically addressing biobanking and more directly addressing the accompanying privacy concerns. A biobank-specific law should be written with international guidelines in mind, but harmonization with other laws should not be attempted until after India has created a law addressing biobank research within the unique legal and cultural environment of India. © 2016 American Society of Law, Medicine & Ethics.

Location Privacy Techniques in Client-Server Architectures

DEFF Research Database (Denmark)

Jensen, Christian Søndergaard; Lu, Hua; Yiu, Man Lung

2009-01-01

A typical location-based service returns nearby points of interest in response to a user location. As such services are becoming increasingly available and popular, location privacy emerges as an important issue. In a system that does not offer location privacy, users must disclose their exact...... locations in order to receive the desired services. We view location privacy as an enabling technology that may lead to increased use of location-based services. In this chapter, we consider location privacy techniques that work in traditional client-server architectures without any trusted components other....... Third, their effectiveness is independent of the distribution of other users, unlike the k-anonymity approach. The chapter characterizes the privacy models assumed by existing techniques and categorizes these according to their approach. The techniques are then covered in turn according...

Privacy amplification for quantum key distribution

International Nuclear Information System (INIS)

Watanabe, Yodai

2007-01-01

This paper examines classical privacy amplification using a universal family of hash functions. In quantum key distribution, the adversary's measurement can wait until the choice of hash functions is announced, and so the adversary's information may depend on the choice. Therefore the existing result on classical privacy amplification, which assumes the independence of the choice from the other random variables, is not applicable to this case. This paper provides a security proof of privacy amplification which is valid even when the adversary's information may depend on the choice of hash functions. The compression rate of the proposed privacy amplification can be taken to be the same as that of the existing one with an exponentially small loss in secrecy of a final key. (fast track communication)

10 CFR 1304.103 - Privacy Act inquiries.

Science.gov (United States)

2010-01-01

... writing may be sent to: Privacy Act Officer, U.S. Nuclear Waste Technical Review Board, 2300 Clarendon... NUCLEAR WASTE TECHNICAL REVIEW BOARD PRIVACY ACT OF 1974 § 1304.103 Privacy Act inquiries. (a) Requests... contains a record pertaining to him or her may file a request in person or in writing, via the internet, or...

The role of privacy protection in healthcare information systems adoption.

Science.gov (United States)

Hsu, Chien-Lung; Lee, Ming-Ren; Su, Chien-Hui

2013-10-01

Privacy protection is an important issue and challenge in healthcare information systems (HISs). Recently, some privacy-enhanced HISs are proposed. Users' privacy perception, intention, and attitude might affect the adoption of such systems. This paper aims to propose a privacy-enhanced HIS framework and investigate the role of privacy protection in HISs adoption. In the proposed framework, privacy protection, access control, and secure transmission modules are designed to enhance the privacy protection of a HIS. An experimental privacy-enhanced HIS is also implemented. Furthermore, we proposed a research model extending the unified theory of acceptance and use of technology by considering perceived security and information security literacy and then investigate user adoption of a privacy-enhanced HIS. The experimental results and analyses showed that user adoption of a privacy-enhanced HIS is directly affected by social influence, performance expectancy, facilitating conditions, and perceived security. Perceived security has a mediating effect between information security literacy and user adoption. This study proposes several implications for research and practice to improve designing, development, and promotion of a good healthcare information system with privacy protection.

A Model-Based Privacy Compliance Checker

OpenAIRE

Siani Pearson; Damien Allison

2009-01-01

Increasingly, e-business organisations are coming under pressure to be compliant to a range of privacy legislation, policies and best practice. There is a clear need for high-level management and administrators to be able to assess in a dynamic, customisable way the degree to which their enterprise complies with these. We outline a solution to this problem in the form of a model-driven automated privacy process analysis and configuration checking system. This system models privacy compliance ...

Privacy Law and Print Photojournalism.

Science.gov (United States)

Dykhouse, Caroline Dow

Reviews of publications about privacy law, of recent court actions, and of interviews with newspaper photographers and attorneys indicate that torts of privacy often conflict with the freedoms to publish and to gather news. Although some guidelines have already been established (about running distorted pictures, "stealing" pictures, taking…

Anonymity versus privacy in the dictator game: revealing donor decisions to recipients does not substantially impact donor behavior.

Directory of Open Access Journals (Sweden)

Jeffrey Winking

Full Text Available Anonymity is often offered in economic experiments in order to eliminate observer effects and induce behavior that would be exhibited under private circumstances. However, anonymity differs from privacy in that interactants are only unaware of each others' identities, while having full knowledge of each others' actions. Such situations are rare outside the laboratory and anonymity might not meet the requirements of some participants to psychologically engage as if their actions were private. In order to explore the impact of a lack of privacy on prosocial behaviors, I expand on a study reported in Dana et al. (2006 in which recipients were left unaware of the Dictator Game and given donations as "bonuses" to their show-up fees for other tasks. In the current study, I explore whether differences between a private Dictator Game (sensu Dana et al. (2006 and a standard anonymous one are due to a desire by dictators to avoid shame or to pursue prestige. Participants of a Dictator Game were randomly assigned to one of four categories-one in which the recipient knew of (1 any donation by an anonymous donor (including zero donations, (2 nothing at all, (3 only zero donations, and (4 and only non-zero donations. The results suggest that a lack of privacy increases the shame that selfish-acting participants experience, but that removing such a cost has only minimal effects on actual behavior.

Smart Grid Privacy through Distributed Trust

Science.gov (United States)

Lipton, Benjamin

Though the smart electrical grid promises many advantages in efficiency and reliability, the risks to consumer privacy have impeded its deployment. Researchers have proposed protecting privacy by aggregating user data before it reaches the utility, using techniques of homomorphic encryption to prevent exposure of unaggregated values. However, such schemes generally require users to trust in the correct operation of a single aggregation server. We propose two alternative systems based on secret sharing techniques that distribute this trust among multiple service providers, protecting user privacy against a misbehaving server. We also provide an extensive evaluation of the systems considered, comparing their robustness to privacy compromise, error handling, computational performance, and data transmission costs. We conclude that while all the systems should be computationally feasible on smart meters, the two methods based on secret sharing require much less computation while also providing better protection against corrupted aggregators. Building systems using these techniques could help defend the privacy of electricity customers, as well as customers of other utilities as they move to a more data-driven architecture.

Privacy Act

Science.gov (United States)

Learn about the Privacy Act of 1974, the Electronic Government Act of 2002, the Federal Information Security Management Act, and other information about the Environmental Protection Agency maintains its records.

Privacy-Preserving Restricted Boltzmann Machine

Directory of Open Access Journals (Sweden)

Yu Li

2014-01-01

Full Text Available With the arrival of the big data era, it is predicted that distributed data mining will lead to an information technology revolution. To motivate different institutes to collaborate with each other, the crucial issue is to eliminate their concerns regarding data privacy. In this paper, we propose a privacy-preserving method for training a restricted boltzmann machine (RBM. The RBM can be got without revealing their private data to each other when using our privacy-preserving method. We provide a correctness and efficiency analysis of our algorithms. The comparative experiment shows that the accuracy is very close to the original RBM model.

Privacy-Preserving Location-Based Services

Science.gov (United States)

Chow, Chi Yin

2010-01-01

Location-based services (LBS for short) providers require users' current locations to answer their location-based queries, e.g., range and nearest-neighbor queries. Revealing personal location information to potentially untrusted service providers could create privacy risks for users. To this end, our objective is to design a privacy-preserving…

Story Lab: Student Data Privacy

Science.gov (United States)

Herold, Benjamin

2015-01-01

Student data privacy is an increasingly high-profile--and controversial--issue that touches schools and families across the country. There are stories to tell in virtually every community. About three dozen states have passed legislation addressing student data privacy in the past two years, and eight different proposals were floating around…

Vehicular ad hoc network security and privacy

CERN Document Server

Lin, X

2015-01-01

Unlike any other book in this area, this book provides innovative solutions to security issues, making this book a must read for anyone working with or studying security measures. Vehicular Ad Hoc Network Security and Privacy mainly focuses on security and privacy issues related to vehicular communication systems. It begins with a comprehensive introduction to vehicular ad hoc network and its unique security threats and privacy concerns and then illustrates how to address those challenges in highly dynamic and large size wireless network environments from multiple perspectives. This book is richly illustrated with detailed designs and results for approaching security and privacy threats.

Ensuring privacy in the study of pathogen genetics.

Science.gov (United States)

Mehta, Sanjay R; Vinterbo, Staal A; Little, Susan J

2014-08-01

Rapid growth in the genetic sequencing of pathogens in recent years has led to the creation of large sequence databases. This aggregated sequence data can be very useful for tracking and predicting epidemics of infectious diseases. However, the balance between the potential public health benefit and the risk to personal privacy for individuals whose genetic data (personal or pathogen) are included in such work has been difficult to delineate, because neither the true benefit nor the actual risk to participants has been adequately defined. Existing approaches to minimise the risk of privacy loss to participants are based on de-identification of data by removal of a predefined set of identifiers. These approaches neither guarantee privacy nor protect the usefulness of the data. We propose a new approach to privacy protection that will quantify the risk to participants, while still maximising the usefulness of the data to researchers. This emerging standard in privacy protection and disclosure control, which is known as differential privacy, uses a process-driven rather than data-centred approach to protecting privacy. Copyright © 2014 Elsevier Ltd. All rights reserved.

Personalized privacy-preserving frequent itemset mining using randomized response.

Science.gov (United States)

Sun, Chongjing; Fu, Yan; Zhou, Junlin; Gao, Hui

2014-01-01

Frequent itemset mining is the important first step of association rule mining, which discovers interesting patterns from the massive data. There are increasing concerns about the privacy problem in the frequent itemset mining. Some works have been proposed to handle this kind of problem. In this paper, we introduce a personalized privacy problem, in which different attributes may need different privacy levels protection. To solve this problem, we give a personalized privacy-preserving method by using the randomized response technique. By providing different privacy levels for different attributes, this method can get a higher accuracy on frequent itemset mining than the traditional method providing the same privacy level. Finally, our experimental results show that our method can have better results on the frequent itemset mining while preserving personalized privacy.

Privacy as virtue: searching for a new privacy paradigm in the age of Big Data

NARCIS (Netherlands)

van der Sloot, B.; Beyvers, E.; Helm, P.; Hennig, M.; Keckeis, C.; Kreknin, I.; Püschel, F.

2017-01-01

Originally, privacy was conceived primarily as a duty of the state not to abuse its powers It could not, for example, enter a private house without legitimate reason or reasonable suspicion that the owner of the house had engaged in, for example, criminal conduct Gradually, however, privacy has been

Security measures required for HIPAA privacy.

Science.gov (United States)

Amatayakul, M

2000-01-01

HIPAA security requirements include administrative, physical, and technical services and mechanisms to safeguard confidentiality, availability, and integrity of health information. Security measures, however, must be implemented in the context of an organization's privacy policies. Because HIPAA's proposed privacy rules are flexible and scalable to account for the nature of each organization's business, size, and resources, each organization will be determining its own privacy policies within the context of the HIPAA requirements and its security capabilities. Security measures cannot be implemented in a vacuum.

Efficient Dynamic Searchable Encryption with Forward Privacy

Directory of Open Access Journals (Sweden)

Etemad Mohammad

2018-01-01

Full Text Available Searchable symmetric encryption (SSE enables a client to perform searches over its outsourced encrypted files while preserving privacy of the files and queries. Dynamic schemes, where files can be added or removed, leak more information than static schemes. For dynamic schemes, forward privacy requires that a newly added file cannot be linked to previous searches. We present a new dynamic SSE scheme that achieves forward privacy by replacing the keys revealed to the server on each search. Our scheme is efficient and parallelizable and outperforms the best previous schemes providing forward privacy, and achieves competitive performance with dynamic schemes without forward privacy. We provide a full security proof in the random oracle model. In our experiments on the Wikipedia archive of about four million pages, the server takes one second to perform a search with 100,000 results.

Protecting privacy in a clinical data warehouse.

Science.gov (United States)

Kong, Guilan; Xiao, Zhichun

2015-06-01

Peking University has several prestigious teaching hospitals in China. To make secondary use of massive medical data for research purposes, construction of a clinical data warehouse is imperative in Peking University. However, a big concern for clinical data warehouse construction is how to protect patient privacy. In this project, we propose to use a combination of symmetric block ciphers, asymmetric ciphers, and cryptographic hashing algorithms to protect patient privacy information. The novelty of our privacy protection approach lies in message-level data encryption, the key caching system, and the cryptographic key management system. The proposed privacy protection approach is scalable to clinical data warehouse construction with any size of medical data. With the composite privacy protection approach, the clinical data warehouse can be secure enough to keep the confidential data from leaking to the outside world. © The Author(s) 2014.

Kids Sell: Celebrity Kids’ Right to Privacy

Directory of Open Access Journals (Sweden)

Seong Choul Hong

2016-04-01

Full Text Available The lives of celebrities are often spotlighted in the media because of their newsworthiness; however, many celebrities argue that their right to privacy is often infringed upon. Concerns about celebrity privacy are not limited to the celebrities themselves and often expand to their children. As a result of their popularity, public interest has pushed paparazzi and journalists to pursue trivial and private details about the lives of both celebrities and their children. This paper investigates conflicting areas where the right to privacy and the right to know collide when dealing with the children of celebrities. In general, the courts have been unsympathetic to celebrity privacy claims, noting their newsworthiness and self-promoted characteristic. Unless the press violates news-gathering ethics or torts, the courts will often rule in favor of the media. However, the story becomes quite different when related to an infringement on the privacy of celebrities’ children. This paper argues that all children have a right to protect their privacy regardless of their parents’ social status. Children of celebrities should not be exempt to principles of privacy just because their parents are a celebrity. Furthermore, they should not be exposed by the media without the voluntary consent of their legal patrons. That is, the right of the media to publish and the newsworthiness of children of celebrities must be restrictedly acknowledged.

An overview of human genetic privacy.

Science.gov (United States)

Shi, Xinghua; Wu, Xintao

2017-01-01

The study of human genomics is becoming a Big Data science, owing to recent biotechnological advances leading to availability of millions of personal genome sequences, which can be combined with biometric measurements from mobile apps and fitness trackers, and of human behavior data monitored from mobile devices and social media. With increasing research opportunities for integrative genomic studies through data sharing, genetic privacy emerges as a legitimate yet challenging concern that needs to be carefully addressed, not only for individuals but also for their families. In this paper, we present potential genetic privacy risks and relevant ethics and regulations for sharing and protecting human genomics data. We also describe the techniques for protecting human genetic privacy from three broad perspectives: controlled access, differential privacy, and cryptographic solutions. © 2016 New York Academy of Sciences.

An overview of human genetic privacy

Science.gov (United States)

Shi, Xinghua; Wu, Xintao

2016-01-01

The study of human genomics is becoming a Big Data science, owing to recent biotechnological advances leading to availability of millions of personal genome sequences, which can be combined with biometric measurements from mobile apps and fitness trackers, and of human behavior data monitored from mobile devices and social media. With increasing research opportunities for integrative genomic studies through data sharing, genetic privacy emerges as a legitimate yet challenging concern that needs to be carefully addressed, not only for individuals but also for their families. In this paper, we present potential genetic privacy risks and relevant ethics and regulations for sharing and protecting human genomics data. We also describe the techniques for protecting human genetic privacy from three broad perspectives: controlled access, differential privacy, and cryptographic solutions. PMID:27626905

Security and privacy in electronic health records: a systematic literature review.

Science.gov (United States)

Fernández-Alemán, José Luis; Señor, Inmaculada Carrión; Lozoya, Pedro Ángel Oliver; Toval, Ambrosio

2013-06-01

To report the results of a systematic literature review concerning the security and privacy of electronic health record (EHR) systems. Original articles written in English found in MEDLINE, ACM Digital Library, Wiley InterScience, IEEE Digital Library, Science@Direct, MetaPress, ERIC, CINAHL and Trip Database. Only those articles dealing with the security and privacy of EHR systems. The extraction of 775 articles using a predefined search string, the outcome of which was reviewed by three authors and checked by a fourth. A total of 49 articles were selected, of which 26 used standards or regulations related to the privacy and security of EHR data. The most widely used regulations are the Health Insurance Portability and Accountability Act (HIPAA) and the European Data Protection Directive 95/46/EC. We found 23 articles that used symmetric key and/or asymmetric key schemes and 13 articles that employed the pseudo anonymity technique in EHR systems. A total of 11 articles propose the use of a digital signature scheme based on PKI (Public Key Infrastructure) and 13 articles propose a login/password (seven of them combined with a digital certificate or PIN) for authentication. The preferred access control model appears to be Role-Based Access Control (RBAC), since it is used in 27 studies. Ten of these studies discuss who should define the EHR systems' roles. Eleven studies discuss who should provide access to EHR data: patients or health entities. Sixteen of the articles reviewed indicate that it is necessary to override defined access policies in the case of an emergency. In 25 articles an audit-log of the system is produced. Only four studies mention that system users and/or health staff should be trained in security and privacy. Recent years have witnessed the design of standards and the promulgation of directives concerning security and privacy in EHR systems. However, more work should be done to adopt these regulations and to deploy secure EHR systems. Copyright

Practical secure decision tree learning in a teletreatment application

NARCIS (Netherlands)

de Hoogh, Sebastiaan; Schoenmakers, Berry; Chen, Ping; op den Akker, Harm

In this paper we develop a range of practical cryptographic protocols for secure decision tree learning, a primary problem in privacy preserving data mining. We focus on particular variants of the well-known ID3 algorithm allowing a high level of security and performance at the same time. Our

Practical secure decision tree learning in a teletreatment application

NARCIS (Netherlands)

Hoogh, de S.J.A.; Schoenmakers, B.; Chen, Ping; Op den Akker, H.; Christin, N.; Safavi-Naini, R.

2014-01-01

In this paper we develop a range of practical cryptographic protocols for secure decision tree learning, a primary problem in privacy preserving data mining. We focus on particular variants of the well-known ID3 algorithm allowing a high level of security and performance at the same time. Our

17 CFR 160.2 - Model privacy form and examples.

Science.gov (United States)

2010-04-01

... examples. 160.2 Section 160.2 Commodity and Securities Exchanges COMMODITY FUTURES TRADING COMMISSION PRIVACY OF CONSUMER FINANCIAL INFORMATION § 160.2 Model privacy form and examples. (a) Model privacy form..., although use of the model privacy form is not required. (b) Examples. The examples in this part are not...

Privacy-preserving digital rights management

NARCIS (Netherlands)

Conrado, C.; Petkovic, M.; Jonker, W.; Jonker, W.; Petkovic, M.

2004-01-01

DRM systems provide a means for protecting digital content, but at the same time they violate the privacy of users in a number of ways. This paper addresses privacy issues in DRM systems. The main challenge is how to allow a user to interact with the system in an anonymous/pseudonymous way, while

Privacy-preserving Identity Management

OpenAIRE

Milutinovic, Milica

2015-01-01

With the technological advances and the evolution of online services, user privacy is becoming a crucial issue in the modern day society. Privacy in the general sense refers to individuals’ ability to protect information about themselves and selectively present it to other entities. This concept is nowadays strongly affected by everyday practices that assume personal data disclosure, such as online shopping and participation in loyalty schemes. This makes it difficult for an individual to con...

The Privacy Problem: Although School Librarians Seldom Discuss It, Students' Privacy Rights Are under Attack

Science.gov (United States)

Adams, Helen R.

2011-01-01

Every day in school libraries nationwide, students' privacy rights are under attack, but many principals, teachers, parents, and community members do not know much about these rights. Even though school librarians are among the strongest proponents of privacy, the subject is rarely discussed, probably because state and federal laws can be…

Privacy Challenges of Genomic Big Data.

Science.gov (United States)

Shen, Hong; Ma, Jian

2017-01-01

With the rapid advancement of high-throughput DNA sequencing technologies, genomics has become a big data discipline where large-scale genetic information of human individuals can be obtained efficiently with low cost. However, such massive amount of personal genomic data creates tremendous challenge for privacy, especially given the emergence of direct-to-consumer (DTC) industry that provides genetic testing services. Here we review the recent development in genomic big data and its implications on privacy. We also discuss the current dilemmas and future challenges of genomic privacy.

Privacy in Online Social Networking Sites

OpenAIRE

M.Ida Evones

2015-01-01

There are more than 192 act ive social networking websites. Bringing every kind of social group together in one place and letting them interact is really a big thing indeed .Huge amount of information process in the sites each day, end up making it vulnerable to attack. There is no systematic framework taking into account the importance of privacy. Increased privacy settings don’t always guarantee privacy when there is a loop hole in the applications. Lack of user education results is over sh...

A Secure and Privacy-Preserving Targeted Ad-System

Science.gov (United States)

Androulaki, Elli; Bellovin, Steven M.

Thanks to its low product-promotion cost and its efficiency, targeted online advertising has become very popular. Unfortunately, being profile-based, online advertising methods violate consumers' privacy, which has engendered resistance to the ads. However, protecting privacy through anonymity seems to encourage click-fraud. In this paper, we define consumer's privacy and present a privacy-preserving, targeted ad system (PPOAd) which is resistant towards click fraud. Our scheme is structured to provide financial incentives to all entities involved.

Full Employment in Industrialized Countries.

Science.gov (United States)

Britton, Andrew

1997-01-01

Argues that full employment must be acceptable on both social and economic grounds. Examines profound changes in industrialized economies since the 1970s and the diversity of employment contracts. Suggests that difficult policy decisions surround full employment. (SK)

75 FR 70342 - Privacy Act; System of Records: Equal Employment Opportunity Records

Science.gov (United States)

2010-11-17

... users are given cyber security awareness training which covers the procedures for handling Sensitive but.... State-09 SYSTEM NAME: Equal Employment Opportunity Records. SECURITY CLASSIFICATION: Unclassified... apply to the Equal Employment Opportunity Records, State-09. DISCLOSURE TO CONSUMER REPORTING AGENCIES...

Computer-Aided Identification and Validation of Privacy Requirements

Directory of Open Access Journals (Sweden)

Rene Meis

2016-05-01

Full Text Available Privacy is a software quality that is closely related to security. The main difference is that security properties aim at the protection of assets that are crucial for the considered system, and privacy aims at the protection of personal data that are processed by the system. The identification of privacy protection needs in complex systems is a hard and error prone task. Stakeholders whose personal data are processed might be overlooked, or the sensitivity and the need of protection of the personal data might be underestimated. The later personal data and the needs to protect them are identified during the development process, the more expensive it is to fix these issues, because the needed changes of the system-to-be often affect many functionalities. In this paper, we present a systematic method to identify the privacy needs of a software system based on a set of functional requirements by extending the problem-based privacy analysis (ProPAn method. Our method is tool-supported and automated where possible to reduce the effort that has to be spent for the privacy analysis, which is especially important when considering complex systems. The contribution of this paper is a semi-automatic method to identify the relevant privacy requirements for a software-to-be based on its functional requirements. The considered privacy requirements address all dimensions of privacy that are relevant for software development. As our method is solely based on the functional requirements of the system to be, we enable users of our method to identify the privacy protection needs that have to be addressed by the software-to-be at an early stage of the development. As initial evaluation of our method, we show its applicability on a small electronic health system scenario.

Gain-Based Relief for Invasion of Privacy

Directory of Open Access Journals (Sweden)

Sirko Harder

2013-11-01

Full Text Available In many common law jurisdictions, some or all instances of invasion of privacy constitute a privacy-specific wrong either at common law (including equity or under statute. A remedy invariably available for such a wrong is compensation for loss. However, the plaintiff may instead seek to claim the profit the defendant has made from the invasion. This article examines when a plaintiff is, and should be, entitled to claim that profit, provided that invasion of privacy is actionable as such. After a brief overview of the relevant law in major common law jurisdictions, the article investigates how invasion of privacy fits into a general concept of what is called ‘restitution for wrongs’. It will be argued that the right to privacy is a right against the whole world and as such forms a proper basis of awarding gain-based relief for the unauthorised use of that right.

12 CFR 573.2 - Model privacy form and examples.

Science.gov (United States)

2010-01-01

... 12 Banks and Banking 5 2010-01-01 2010-01-01 false Model privacy form and examples. 573.2 Section... FINANCIAL INFORMATION § 573.2 Model privacy form and examples. (a) Model privacy form. Use of the model... privacy form is not required. (b) Examples. The examples in this part are not exclusive. Compliance with...

12 CFR 332.2 - Model privacy form and examples.

Science.gov (United States)

2010-01-01

... 12 Banks and Banking 4 2010-01-01 2010-01-01 false Model privacy form and examples. 332.2 Section... POLICY PRIVACY OF CONSUMER FINANCIAL INFORMATION § 332.2 Model privacy form and examples. (a) Model... this part, although use of the model privacy form is not required. (b) Examples. The examples in this...

12 CFR 216.2 - Model privacy form and examples.

Science.gov (United States)

2010-01-01

... 12 Banks and Banking 2 2010-01-01 2010-01-01 false Model privacy form and examples. 216.2 Section... PRIVACY OF CONSUMER FINANCIAL INFORMATION (REGULATION P) § 216.2 Model privacy form and examples. (a... of this part, although use of the model privacy form is not required. (b) Examples. The examples in...

43 CFR 2.47 - Records subject to Privacy Act.

Science.gov (United States)

2010-10-01

... 43 Public Lands: Interior 1 2010-10-01 2010-10-01 false Records subject to Privacy Act. 2.47 Section 2.47 Public Lands: Interior Office of the Secretary of the Interior RECORDS AND TESTIMONY; FREEDOM OF INFORMATION ACT Privacy Act § 2.47 Records subject to Privacy Act. The Privacy Act applies to all...

Privacy versus care--The shifting balance in mental health.

Science.gov (United States)

Mork, Mary Jean; Price, Steven; Best, Kathryn

2016-03-01

Mental health professionals are now debating client confidentiality and its relationship to care coordination. History tells us there is a need to protect the privacy of people who are diagnosed with mental health issues in a world filled with stigma and misperceptions. People with mental illness and substance use problems may be legitimately concerned that employers, insurance companies, financial institutions, medical practices, and educational institutions could use their health information to discriminate against them, often without their knowledge. The protection of jobs and health information is a real, justifiable benefit of privacy legislation. However, there are also a host of negative consequences, including fragmented health care, lack of prevention, uninformed families, and even early death, because of a lack of coordination with medical treatment. The legal situation can be very confusing, but the upshot is that we are shifting from an environment of strict confidentiality to one of better care coordination. In short, we are moving toward a system that allows for better coordination because it improves the quality of care for our clients. At the policy level, we must lead the change process and actively support the revision and reinterpretation of existing laws and regulations. These changes will require earning the trust of the people being served. Many are wary, and some even scared, of their perceived loss of privacy. Health-care professionals must commit to the concept of coordinating care, making communication about shared care plans a priority. (PsycINFO Database Record (c) 2016 APA, all rights reserved).

Data privacy foundations, new developments and the big data challenge

CERN Document Server

Torra, Vicenç

2017-01-01

This book offers a broad, cohesive overview of the field of data privacy. It discusses, from a technological perspective, the problems and solutions of the three main communities working on data privacy: statistical disclosure control (those with a statistical background), privacy-preserving data mining (those working with data bases and data mining), and privacy-enhancing technologies (those involved in communications and security) communities. Presenting different approaches, the book describes alternative privacy models and disclosure risk measures as well as data protection procedures for respondent, holder and user privacy. It also discusses specific data privacy problems and solutions for readers who need to deal with big data.

77 FR 32111 - Privacy Act System of Records

Science.gov (United States)

2012-05-31

... contacted in order to obtain that office's advice regarding obligations under the Privacy Act; 8. Breach... FEDERAL COMMUNICATIONS COMMISSION Privacy Act System of Records AGENCY: Federal Communications Commission. ACTION: Notice; one new Privacy Act system of records. SUMMARY: Pursuant to subsection (e)(4) of...

CARAVAN: Providing Location Privacy for VANET

National Research Council Canada - National Science Library

Sampigethaya, Krishna; Huang, Leping; Li, Mingyan; Poovendran, Radha; Matsuura, Kanta; Sezaki, Kaoru

2005-01-01

.... This type of tracking leads to threats on the location privacy of the vehicle's user. In this paper, we study the problem of providing location privacy in VANET by allowing vehicles to prevent tracking of their broadcast communications...

Understanding consumer evaluations of personalised nutrition services in terms of the privacy calculus: a qualitative study.

Science.gov (United States)

Berezowska, Aleksandra; Fischer, Arnout R H; Ronteltap, Amber; Kuznesof, Sharron; Macready, Anna; Fallaize, Rosalind; van Trijp, Hans C M

2014-01-01

Personalised nutrition (PN) may provide major health benefits to consumers. A potential barrier to the uptake of PN is consumers' reluctance to disclose sensitive information upon which PN is based. This study adopts the privacy calculus to explore how PN service attributes contribute to consumers' privacy risk and personalisation benefit perceptions. Sixteen focus groups (n = 124) were held in 8 EU countries and discussed 9 PN services that differed in terms of personal information, communication channel, service provider, advice justification, scope, frequency, and customer lock-in. Transcripts were content analysed. The personal information that underpinned PN contributed to both privacy risk perception and personalisation benefit perception. Disclosing information face-to-face mitigated the perception of privacy risk and amplified the perception of personalisation benefit. PN provided by a qualified expert and justified by scientific evidence increased participants' value perception. Enhancing convenience, offering regular face-to face support, and employing customer lock-in strategies were perceived as beneficial. This study suggests that to encourage consumer adoption, PN has to account for face-to-face communication, expert advice providers, support, a lifestyle-change focus, and customised offers. The results provide an initial insight into service attributes that influence consumer adoption of PN. © 2014 S. Karger AG, Basel.

Privacy and Open Government

Directory of Open Access Journals (Sweden)

Teresa Scassa

2014-06-01

Full Text Available The public-oriented goals of the open government movement promise increased transparency and accountability of governments, enhanced citizen engagement and participation, improved service delivery, economic development and the stimulation of innovation. In part, these goals are to be achieved by making more and more government information public in reusable formats and under open licences. This paper identifies three broad privacy challenges raised by open government. The first is how to balance privacy with transparency and accountability in the context of “public” personal information. The second challenge flows from the disruption of traditional approaches to privacy based on a collapse of the distinctions between public and private sector actors. The third challenge is that of the potential for open government data—even if anonymized—to contribute to the big data environment in which citizens and their activities are increasingly monitored and profiled.

5G Visions of User Privacy

DEFF Research Database (Denmark)

Sørensen, Lene Tolstrup; Khajuria, Samant; Skouby, Knud Erik

2015-01-01

Currently, the discussions are going on the elements and definition of 5G networks. One of the elements in this discussion is how to provide for user controlled privacy for securing users' digital interaction. The purpose of this paper is to present elements of user controlled privacy needed...... for the future 5G networks. The paper concludes that an ecosystem consisting of Trusted Third Party between the end user and the service providers as a distributed system could be integrated to secure the perspective of user controlled privacy for future systems...

36 CFR 902.56 - Protection of personal privacy.

Science.gov (United States)

2010-07-01

... privacy. 902.56 Section 902.56 Parks, Forests, and Public Property PENNSYLVANIA AVENUE DEVELOPMENT... Protection of personal privacy. (a) Any of the following personnel, medical, or similar records is within the... invasion of his personal privacy: (1) Personnel and background records personal to any officer or employee...

Privacy-Preserving and Scalable Service Recommendation Based on SimHash in a Distributed Cloud Environment

Directory of Open Access Journals (Sweden)

Yanwei Xu

2017-01-01

Full Text Available With the increasing volume of web services in the cloud environment, Collaborative Filtering- (CF- based service recommendation has become one of the most effective techniques to alleviate the heavy burden on the service selection decisions of a target user. However, the service recommendation bases, that is, historical service usage data, are often distributed in different cloud platforms. Two challenges are present in such a cross-cloud service recommendation scenario. First, a cloud platform is often not willing to share its data to other cloud platforms due to privacy concerns, which decreases the feasibility of cross-cloud service recommendation severely. Second, the historical service usage data recorded in each cloud platform may update over time, which reduces the recommendation scalability significantly. In view of these two challenges, a novel privacy-preserving and scalable service recommendation approach based on SimHash, named SerRecSimHash, is proposed in this paper. Finally, through a set of experiments deployed on a real distributed service quality dataset WS-DREAM, we validate the feasibility of our proposal in terms of recommendation accuracy and efficiency while guaranteeing privacy-preservation.

76 FR 51869 - Privacy Act Implementation

Science.gov (United States)

2011-08-19

... permanent residence. Maintain includes collect, use, disseminate, or control. Privacy Act means the Privacy... announces the creation, deletion, or amendment of one or more system of records. System of records notices... reference and university libraries or electronically at the [[Page 51873

Measuring privacy compliance using fitness metrics

NARCIS (Netherlands)

Banescu, S.; Petkovic, M.; Zannone, N.; Barros, A.; Gal, A.; Kindler, E.

2012-01-01

Nowadays, repurposing of personal data is a major privacy issue. Detection of data repurposing requires posteriori mechanisms able to determine how data have been processed. However, current a posteriori solutions for privacy compliance are often manual, leading infringements to remain undetected.

Defining Privacy Is Supposed to Be Easy

DEFF Research Database (Denmark)

Mödersheim, Sebastian Alexander; Gross, Thomas; Viganò, Luca

2013-01-01

Formally specifying privacy goals is not trivial. The most widely used approach in formal methods is based on the static equivalence of frames in the applied pi-calculus, basically asking whether or not the intruder is able to distinguish two given worlds. A subtle question is how we can be sure...... that we have specified all pairs of worlds to properly reflect our intuitive privacy goal. To address this problem, we introduce in this paper a novel and declarative way to specify privacy goals, called α-β privacy, and relate it to static equivalence. This new approach is based on specifying two...... formulae α and β in first-order logic with Herbrand universes, where α reflects the intentionally released information and β includes the actual cryptographic (“technical”) messages the intruder can see. Then α-β privacy means that the intruder cannot derive any “non-technical” statement from β that he...

77 FR 61275 - Privacy Act of 1974: Implementation

Science.gov (United States)

2012-10-09

... (FBI) Privacy Act system of records titled FBI Data Warehouse System, JUSTICE/FBI- 022. This system is...)(G), (H), and (I), (5), and (8); (f); and (g) of the Privacy Act: (1) FBI Data Warehouse System... security; disclose information that would constitute an unwarranted invasion of another's personal privacy...

22 CFR 212.22 - Protection of personal privacy.

Science.gov (United States)

2010-04-01

... 22 Foreign Relations 1 2010-04-01 2010-04-01 false Protection of personal privacy. 212.22 Section... Information for Public Inspection and Copying § 212.22 Protection of personal privacy. To the extent required to prevent a clearly unwarranted invasion of personal privacy, USAID may delete identifying details...

Privacy Preservation in Distributed Subgradient Optimization Algorithms

OpenAIRE

Lou, Youcheng; Yu, Lean; Wang, Shouyang

2015-01-01

Privacy preservation is becoming an increasingly important issue in data mining and machine learning. In this paper, we consider the privacy preserving features of distributed subgradient optimization algorithms. We first show that a well-known distributed subgradient synchronous optimization algorithm, in which all agents make their optimization updates simultaneously at all times, is not privacy preserving in the sense that the malicious agent can learn other agents' subgradients asymptotic...

A Response to Proposed Equal Employment Opportunity Commission Regulations on Employer-Sponsored Health, Safety, and Well-Being Initiatives.

Science.gov (United States)

2016-03-01

The aim of this study was to identify areas of consensus in response to proposed Equal Employment Opportunity Commission Americans with Disabilities Act of 1990 and Genetic Information Nondiscrimination Act of 2008 regulations on employer-sponsored health, safety, and well-being initiatives. The consensus process included review of existing and proposed regulations, identification of key areas where consensus is needed, and a methodical consensus-building process. Stakeholders representing employees, employers, consulting organizations, and wellness providers reached consensus around five areas, including adequate privacy notice on how medical data are collected, used, and protected; effective, equitable use of inducements that influence participation in programs; observance of reasonable alternative standards; what constitutes reasonably designed programs; and the need for greater congruence between federal agency regulations. Employee health and well-being initiatives that are in accord with federal regulations are comprehensive, evidence-based, and are construed as voluntary by employees and regulators alike.

Certificate Transparency with Privacy

Directory of Open Access Journals (Sweden)

Eskandarian Saba

2017-10-01

Full Text Available Certificate transparency (CT is an elegant mechanism designed to detect when a certificate authority (CA has issued a certificate incorrectly. Many CAs now support CT and it is being actively deployed in browsers. However, a number of privacy-related challenges remain. In this paper we propose practical solutions to two issues. First, we develop a mechanism that enables web browsers to audit a CT log without violating user privacy. Second, we extend CT to support non-public subdomains.

37 CFR 251.23 - FOIA and Privacy Act.

Science.gov (United States)

2010-07-01

... 37 Patents, Trademarks, and Copyrights 1 2010-07-01 2010-07-01 false FOIA and Privacy Act. 251.23 Section 251.23 Patents, Trademarks, and Copyrights COPYRIGHT OFFICE, LIBRARY OF CONGRESS COPYRIGHT... Access to and Inspection of Records § 251.23 FOIA and Privacy Act. Freedom of Information Act and Privacy...

32 CFR 806b.4 - Privacy Act complaints.

Science.gov (United States)

2010-07-01

... be identified, the local Privacy Act officer will assume these duties. Issues that cannot be resolved... 32 National Defense 6 2010-07-01 2010-07-01 false Privacy Act complaints. 806b.4 Section 806b.4 National Defense Department of Defense (Continued) DEPARTMENT OF THE AIR FORCE ADMINISTRATION PRIVACY ACT...

Privacy in the Sharing Economy

DEFF Research Database (Denmark)

Ranzini, Giulia; Etter, Michael; Lutz, Christoph

’s digital services through providing recommendations to Europe’s institutions. The initial stage of this research project involves a set of three literature reviews of the state of research on three core topics in relation to the sharing economy: participation (1), privacy (2), and power (3). This piece...... is a literature review on the topic of privacy. It addresses key privacy challenges for different stakeholders in the sharing economy. Throughout, we use the term "consumers" to refer to users on the receiving end (e.g., Airbnb guests, Uber passengers), "providers" to refer to users on the providing end (e.......g., Airbnb hosts, Uber drivers) and "platforms" to refer to the mediating sites, apps and infrastructures matching consumers and providers (e.g., Airbnb, Uber)....

AnonySense: Opportunistic and Privacy-Preserving Context Collection

DEFF Research Database (Denmark)

Triandopoulos, Nikolaos; Kapadia, Apu; Cornelius, Cory

2008-01-01

on tessellation and clustering to protect users' privacy against the system while reporting context, and k-anonymous report aggregation to improve the users' privacy against applications receiving the context. We outline the architecture and security properties of AnonySense, and focus on evaluating our....... We propose AnonySense, a general-purpose architecture for leveraging users' mobile devices for measuring context, while maintaining the privacy of the users.AnonySense features multiple layers of privacy protection-a framework for nodes to receive tasks anonymously, a novel blurring mechanism based...

Privacy Data Decomposition and Discretization Method for SaaS Services

Directory of Open Access Journals (Sweden)

Changbo Ke

2017-01-01

Full Text Available In cloud computing, user functional requirements are satisfied through service composition. However, due to the process of interaction and sharing among SaaS services, user privacy data tends to be illegally disclosed to the service participants. In this paper, we propose a privacy data decomposition and discretization method for SaaS services. First, according to logic between the data, we classify the privacy data into discrete privacy data and continuous privacy data. Next, in order to protect the user privacy information, continuous data chains are decomposed into discrete data chain, and discrete data chains are prevented from being synthesized into continuous data chains. Finally, we propose a protection framework for privacy data and demonstrate its correctness and feasibility with experiments.

Privacy and human behavior in the age of information.

Science.gov (United States)

Acquisti, Alessandro; Brandimarte, Laura; Loewenstein, George

2015-01-30

This Review summarizes and draws connections between diverse streams of empirical research on privacy behavior. We use three themes to connect insights from social and behavioral sciences: people's uncertainty about the consequences of privacy-related behaviors and their own preferences over those consequences; the context-dependence of people's concern, or lack thereof, about privacy; and the degree to which privacy concerns are malleable—manipulable by commercial and governmental interests. Organizing our discussion by these themes, we offer observations concerning the role of public policy in the protection of privacy in the information age. Copyright © 2015, American Association for the Advancement of Science.

Privacy preserving surveillance and the tracking-paradox

OpenAIRE

Greiner, S.; Birnstill, Pascal; Krempel, Erik; Beckert, B.; Beyerer, Jürgen

2013-01-01

Increasing capabilities of intelligent video surveillance systems impose new threats to privacy while, at the same time, offering opportunities for reducing the privacy invasiveness of surveillance measures as well as their selectivity. We show that aggregating more data about observed people does not necessarily lead to less privacy, but can increase the selectivity of surveillance measures. In case of video surveillance in a company environment, if we enable the system to authenticate emplo...

76 FR 30952 - Published Privacy Impact Assessments on the Web

Science.gov (United States)

2011-05-27

... DEPARTMENT OF HOMELAND SECURITY Office of the Secretary Published Privacy Impact Assessments on... the Department. These assessments were approved and published on the Privacy Office's web site between..., 2011 and March 31, 2011, the Chief Privacy Officer of the DHS approved and published sixteen Privacy...

76 FR 58814 - Published Privacy Impact Assessments on the Web

Science.gov (United States)

2011-09-22

... DEPARTMENT OF HOMELAND SECURITY Office of the Secretary Published Privacy Impact Assessments on... DHS. These assessments were approved and published on the Privacy Office's Web site between June 1... 31, 2011, the Chief Privacy Officer of the DHS approved and published twenty-six Privacy Impact...

76 FR 78934 - Published Privacy Impact Assessments on the Web

Science.gov (United States)

2011-12-20

... DEPARTMENT OF HOMELAND SECURITY Office of the Secretary Published Privacy Impact Assessments on.... These assessments were approved and published on the Privacy Office's web site between September 1, 2011... November 30, 2011, the Chief Privacy Officer of the DHS approved and published seven Privacy Impact...

76 FR 37823 - Published Privacy Impact Assessments on the Web

Science.gov (United States)

2011-06-28

... DEPARTMENT OF HOMELAND SECURITY Office of the Secretary Published Privacy Impact Assessments on... Department. These assessments were approved and published on the Privacy Office's Web site between March 31... 31, 2011, the Chief Privacy Officer of the DHS approved and published ten Privacy Impact Assessments...

32 CFR 701.109 - Privacy Act (PA) appeals.

Science.gov (United States)

2010-07-01

... 32 National Defense 5 2010-07-01 2010-07-01 false Privacy Act (PA) appeals. 701.109 Section 701... OF THE NAVY DOCUMENTS AFFECTING THE PUBLIC DON Privacy Program § 701.109 Privacy Act (PA) appeals. (a... commence when the appeal reaches the office of the review authority having jurisdiction over the record...

Privacy Information Security Classification for Internet of Things Based on Internet Data

OpenAIRE

Lu, Xiaofeng; Qu, Zhaowei; Li, Qi; Hui, Pan

2015-01-01

A lot of privacy protection technologies have been proposed, but most of them are independent and aim at protecting some specific privacy. There is hardly enough deep study into the attributes of privacy. To minimize the damage and influence of the privacy disclosure, the important and sensitive privacy should be a priori preserved if all privacy pieces cannot be preserved. This paper focuses on studying the attributes of the privacy and proposes privacy information security classification (P...

Differential privacy in intelligent transportation systems

NARCIS (Netherlands)

Kargl, Frank; Friedman, Arik; Boreli, Roksana

2013-01-01

In this paper, we investigate how the concept of differential privacy can be applied to Intelligent Transportation Systems (ITS), focusing on protection of Floating Car Data (FCD) stored and processed in central Traffic Data Centers (TDC). We illustrate an integration of differential privacy with

The privacy paradox : Investigating discrepancies between expressed privacy concerns and actual online behavior - A systematic literature review

NARCIS (Netherlands)

Barth, Susanne; de Jong, Menno D.T.

2017-01-01

Also known as the privacy paradox, recent research on online behavior has revealed discrepancies between user attitude and their actual behavior. More specifically: While users claim to be very concerned about their privacy, they nevertheless undertake very little to protect their personal data.

Privacy Breach Analysis in Social Networks

Science.gov (United States)

Nagle, Frank

This chapter addresses various aspects of analyzing privacy breaches in social networks. We first review literature that defines three types of privacy breaches in social networks: interactive, active, and passive. We then survey the various network anonymization schemes that have been constructed to address these privacy breaches. After exploring these breaches and anonymization schemes, we evaluate a measure for determining the level of anonymity inherent in a network graph based on its topological structure. Finally, we close by emphasizing the difficulty of anonymizing social network data while maintaining usability for research purposes and offering areas for future work.

Outsourcing medical data analyses: can technology overcome legal, privacy, and confidentiality issues?

Science.gov (United States)

Brumen, Bostjan; Heričko, Marjan; Sevčnikar, Andrej; Završnik, Jernej; Hölbl, Marko

2013-12-16

Medical data are gold mines for deriving the knowledge that could change the course of a single patient's life or even the health of the entire population. A data analyst needs to have full access to relevant data, but full access may be denied by privacy and confidentiality of medical data legal regulations, especially when the data analyst is not affiliated with the data owner. Our first objective was to analyze the privacy and confidentiality issues and the associated regulations pertaining to medical data, and to identify technologies to properly address these issues. Our second objective was to develop a procedure to protect medical data in such a way that the outsourced analyst would be capable of doing analyses on protected data and the results would be comparable, if not the same, as if they had been done on the original data. Specifically, our hypothesis was there would not be a difference between the outsourced decision trees built on encrypted data and the ones built on original data. Using formal definitions, we developed an algorithm to protect medical data for outsourced analyses. The algorithm was applied to publicly available datasets (N=30) from the medical and life sciences fields. The analyses were performed on the original and the protected datasets and the results of the analyses were compared. Bootstrapped paired t tests for 2 dependent samples were used to test whether the mean differences in size, number of leaves, and the accuracy of the original and the encrypted decision trees were significantly different. The decision trees built on encrypted data were virtually the same as those built on original data. Out of 30 datasets, 100% of the trees had identical accuracy. The size of a tree and the number of leaves was different only once (1/30, 3%, P=.19). The proposed algorithm encrypts a file with plain text medical data into an encrypted file with the data protected in such a way that external data analyses are still possible. The results

Evaluating Common Privacy Vulnerabilities in Internet Service Providers

Science.gov (United States)

Kotzanikolaou, Panayiotis; Maniatis, Sotirios; Nikolouzou, Eugenia; Stathopoulos, Vassilios

Privacy in electronic communications receives increased attention in both research and industry forums, stemming from both the users' needs and from legal and regulatory requirements in national or international context. Privacy in internet-based communications heavily relies on the level of security of the Internet Service Providers (ISPs), as well as on the security awareness of the end users. This paper discusses the role of the ISP in the privacy of the communications. Based on real security audits performed in national-wide ISPs, we illustrate privacy-specific threats and vulnerabilities that many providers fail to address when implementing their security policies. We subsequently provide and discuss specific security measures that the ISPs can implement, in order to fine-tune their security policies in the context of privacy protection.

Investigation of the Ethical Concepts that Inform the Laws Limiting Genetic Screening in Employment Decisions: Privacy, Human Dignity, Equality, Autonomy, Efficiency

Energy Technology Data Exchange (ETDEWEB)

Pasquerella, Lynn; Rothstein, Lawrence E.

2003-01-16

The broad question addressed in our research is : What is the influence of ethical concepts on legislative outcomes? The research focuses on the important ethical concerns that surround the use of genetic information in employment matters and in American state legislatures. By analyzing the contents of hearings, interviews and advocacy documents involved in the legislative process, the research seeks to answer the question: How might the dominance of a particular ethical concept informing the discussion of a bill influence the legislative outcome?

76 FR 63896 - Federal Acquisition Regulation; Privacy Training, 2010-013

Science.gov (United States)

2011-10-14

... should a breach occur; and (7) Any agency-specific privacy training requirements. (d) The contractor is... Acquisition Regulation; Privacy Training, 2010-013 AGENCY: Department of Defense (DoD), General Services... contractors to complete training that addresses the protection of privacy, in accordance with the Privacy Act...

Full employment maintenance in the private sector

Science.gov (United States)

Young, G. A.

1976-01-01

Operationally, full employment can be accomplished by applying modern computer capabilities, game and decision concepts, and communication feedback possibilities, rather than accepted economic tools, to the problem of assuring invariant full employment. The government must provide positive direction to individual firms concerning the net number of employees that each firm must hire or refrain from hiring to assure national full employment. To preserve free enterprise and the decision making power of the individual manager, this direction must be based on each private firm's own numerical employment projections.

Breathing Room in Monitored Space: The Impact of Passive Monitoring Technology on Privacy in Independent Living.

Science.gov (United States)

Berridge, Clara

2016-10-01

This study examines articulations of the relationship between privacy and passive monitoring by users and former users of a sensor-based remote monitoring system. A new conceptualization of privacy provides a framework for a constructive analysis of the study's findings with practical implications. Forty-nine in-depth semistructured interviews were conducted with elder residents, family members, and staff of 6 low-income independent living residence apartment buildings where the passive monitoring system had been offered for 6 years. Transcribed interviews were coded into the Dedoose software service and were analyzed using methods of grounded theory. Five diverse articulations of the relationship between privacy and passive monitoring emerged. The system produced new knowledge about residents and enabled staff to decide how much of that knowledge to disclose to residents. They chose not to disclose to residents their reason for following up on system-generated alerts for 2 reasons: concern that feelings of privacy invasion may arise and cause dissatisfaction with the technology, and the knowledge that many resident users did not comprehend the extent of its features and would be alarmed. This research reveals the importance and challenges of obtaining informed consent. It identifies where boundary intrusion can occur in the use of passive monitoring as well as how changes to technology design and practice could create opportunities for residents to manage their own boundaries according to their privacy needs. The diversity of approaches to privacy supports the need for "opportunity for boundary management" to be employed as both a design and practice principle. © The Author 2015. Published by Oxford University Press on behalf of The Gerontological Society of America. All rights reserved. For permissions, please e-mail: journals.permissions@oup.com.

Syllabus for Privacy and Information Technology, Fall 2017, UCLA Information Studies

OpenAIRE

Borgman, Christine L.

2017-01-01

Privacy is a broad topic that covers many disciplines, stakeholders, and concerns. This course addresses the intersection of privacy and information technology, surveying a wide array of topics of concern for research and practice in the information fields. Among the topics covered are the history and changing contexts of privacy; privacy risks and harms; law, policies, and practices; privacy in searching for information, in reading, and in libraries; surveillance, networks, and privacy by de...

75 FR 404 - Privacy Act of 1974; Department of Homeland Security U.S. Immigration and Customs Enforcement-009...

Science.gov (United States)

2010-01-05

... Officer, U.S. Immigration and Customs Enforcement, Washington, DC 20536. For privacy issues please contact...; individuals who employ others in their individual capacity whether related to a business activity or not; and... moral, educational, or professional qualifications of an individual who is licensed or who is seeking to...

Hacking Facebook Privacy and Security

Science.gov (United States)

2012-08-28

REPORT Hacking Facebook Privacy and Security 14. ABSTRACT 16. SECURITY CLASSIFICATION OF: When people talk about hacking and social networks , they’re...12211 Research Triangle Park, NC 27709-2211 15. SUBJECT TERMS Facebook , Privacy, Security, Social Network Dr. Jeff Duffany (Advisor), Omar Galban...transmit personal information that many people that they dare not do it personally. FACEBOOK PLATFORM Facebook is a popular social networking

77 FR 46100 - Published Privacy Impact Assessments on the Web

Science.gov (United States)

2012-08-02

... DEPARTMENT OF HOMELAND SECURITY Office of the Secretary Published Privacy Impact Assessments on... published on the Privacy Office's Web site between March 1, 2012 and May 31, 2012. DATES: The PIAs will be... approved and published fifteen Privacy Impact Assessments (PIAs) on the DHS Privacy Office Web site, www...

Designing Privacy-aware Internet of Things Applications

OpenAIRE

Perera, Charith; Barhamgi, Mahmoud; Bandara, Arosha K.; Ajmal, Muhammad; Price, Blaine; Nuseibeh, Bashar

2017-01-01

Internet of Things (IoT) applications typically collect and analyse personal data that can be used to derive sensitive information about individuals. However, thus far, privacy concerns have not been explicitly considered in software engineering processes when designing IoT applications. In this paper, we explore how a Privacy-by-Design (PbD) framework, formulated as a set of guidelines, can help software engineers to design privacy-aware IoT applications. We studied the utility of our propos...

Toward sensitive document release with privacy guarantees

OpenAIRE

David Sánchez; Montserrat Batet

2017-01-01

Toward sensitive document release with privacy guarantees DOI: 10.1016/j.engappai.2016.12.013 URL: http://www.sciencedirect.com/science/article/pii/S0952197616302408 Filiació URV: SI Inclòs a la memòria: SI Privacy has become a serious concern for modern Information Societies. The sensitive nature of much of the data that are daily exchanged or released to untrusted parties requires that responsible organizations undertake appropriate privacy protection measures. Nowadays, much...

Achieving Optimal Privacy in Trust-Aware Social Recommender Systems

Science.gov (United States)

Dokoohaki, Nima; Kaleli, Cihan; Polat, Huseyin; Matskin, Mihhail

Collaborative filtering (CF) recommenders are subject to numerous shortcomings such as centralized processing, vulnerability to shilling attacks, and most important of all privacy. To overcome these obstacles, researchers proposed for utilization of interpersonal trust between users, to alleviate many of these crucial shortcomings. Till now, attention has been mainly paid to strong points about trust-aware recommenders such as alleviating profile sparsity or calculation cost efficiency, while least attention has been paid on investigating the notion of privacy surrounding the disclosure of individual ratings and most importantly protection of trust computation across social networks forming the backbone of these systems. To contribute to addressing problem of privacy in trust-aware recommenders, within this paper, first we introduce a framework for enabling privacy-preserving trust-aware recommendation generation. While trust mechanism aims at elevating recommender's accuracy, to preserve privacy, accuracy of the system needs to be decreased. Since within this context, privacy and accuracy are conflicting goals we show that a Pareto set can be found as an optimal setting for both privacy-preserving and trust-enabling mechanisms. We show that this Pareto set, when used as the configuration for measuring the accuracy of base collaborative filtering engine, yields an optimized tradeoff between conflicting goals of privacy and accuracy. We prove this concept along with applicability of our framework by experimenting with accuracy and privacy factors, and we show through experiment how such optimal set can be inferred.

The study on privacy preserving data mining for information security

Science.gov (United States)

Li, Xiaohui

2012-04-01

Privacy preserving data mining have a rapid development in a short year. But it still faces many challenges in the future. Firstly, the level of privacy has different definitions in different filed. Therefore, the measure of privacy preserving data mining technology protecting private information is not the same. So, it's an urgent issue to present a unified privacy definition and measure. Secondly, the most of research in privacy preserving data mining is presently confined to the theory study.

32 CFR 701.119 - Privacy and the web.

Science.gov (United States)

2010-07-01

... 32 National Defense 5 2010-07-01 2010-07-01 false Privacy and the web. 701.119 Section 701.119... THE NAVY DOCUMENTS AFFECTING THE PUBLIC DON Privacy Program § 701.119 Privacy and the web. DON activities shall consult SECNAVINST 5720.47B for guidance on what may be posted on a Navy Web site. ...

Incentivizing Verifiable Privacy-Protection Mechanisms for Offline Crowdsensing Applications.

Science.gov (United States)

Sun, Jiajun; Liu, Ningzhong

2017-09-04

Incentive mechanisms of crowdsensing have recently been intensively explored. Most of these mechanisms mainly focus on the standard economical goals like truthfulness and utility maximization. However, enormous privacy and security challenges need to be faced directly in real-life environments, such as cost privacies. In this paper, we investigate offline verifiable privacy-protection crowdsensing issues. We firstly present a general verifiable privacy-protection incentive mechanism for the offline homogeneous and heterogeneous sensing job model. In addition, we also propose a more complex verifiable privacy-protection incentive mechanism for the offline submodular sensing job model. The two mechanisms not only explore the private protection issues of users and platform, but also ensure the verifiable correctness of payments between platform and users. Finally, we demonstrate that the two mechanisms satisfy privacy-protection, verifiable correctness of payments and the same revenue as the generic one without privacy protection. Our experiments also validate that the two mechanisms are both scalable and efficient, and applicable for mobile devices in crowdsensing applications based on auctions, where the main incentive for the user is the remuneration.

Unveiling consumer's privacy paradox behaviour in an economic exchange.

Science.gov (United States)

Motiwalla, Luvai F; Li, Xiao-Bai

2016-01-01

Privacy paradox is of great interest to IS researchers and firms gathering personal information. It has been studied from social, behavioural, and economic perspectives independently. However, prior research has not examined the degrees of influence these perspectives contribute to the privacy paradox problem. We combine both economic and behavioural perspectives in our study of the privacy paradox with a price valuation of personal information through an economic experiment combined with a behavioural study on privacy paradox. Our goal is to reveal more insights on the privacy paradox through economic valuation on personal information. Results indicate that general privacy concerns or individual disclosure concerns do not have a significant influence on the price valuation of personal information. Instead, prior disclosure behaviour in specific scenario, like with healthcare providers or social networks, is a better indicator of consumer price valuations.

Privacy and confidentiality in pragmatic clinical trials.

Science.gov (United States)

McGraw, Deven; Greene, Sarah M; Miner, Caroline S; Staman, Karen L; Welch, Mary Jane; Rubel, Alan

2015-10-01

With pragmatic clinical trials, an opportunity exists to answer important questions about the relative risks, burdens, and benefits of therapeutic interventions. However, concerns about protecting the privacy of this information are significant and must be balanced with the imperative to learn from the data gathered in routine clinical practice. Traditional privacy protections for research uses of identifiable information rely disproportionately on informed consent or authorizations, based on a presumption that this is necessary to fulfill ethical principles of respect for persons. But frequently, the ideal of informed consent is not realized in its implementation. Moreover, the principle of respect for persons—which encompasses their interests in health information privacy—can be honored through other mechanisms. Data anonymization also plays a role in protecting privacy but is not suitable for all research, particularly pragmatic clinical trials. In this article, we explore both the ethical foundation and regulatory framework intended to protect privacy in pragmatic clinical trials. We then review examples of novel approaches to respecting persons in research that may have the added benefit of honoring patient privacy considerations. © The Author(s) 2015.

HIPPA privacy regulations: practical information for physicians.

Science.gov (United States)

McMahon, E B; Lee-Huber, T

2001-07-01

After much debate and controversy, the Bush administration announced on April 12, 2001, that it would implement the Health Insurance Portability and Accountability Act (HIPAA) privacy regulations issued by the Clinton administration in December of 2000. The privacy regulations became effective on April 14, 2001. Although the regulations are considered final, the Secretary of the Department of Health and Human Services has the power to modify the regulations at any time during the first year of implementation. These regulations affect how a patient's health information is used and disclosed, as well as how patients are informed of their privacy rights. As "covered entities," physicians have until April 14, 2003, to comply fully with the HIPAA privacy regulations, which are more than 1,500 pages in length. This article presents a basic overview of the new and complex regulations and highlights practical information about physicians' compliance with the regulations. However, this summary of the HIPAA privacy regulations should not be construed as legal advice or an opinion on specific situations. Please consult an attorney concerning your compliance with HIPAA and the regulations promulgated thereunder.

A Game-Theoretic Taxonomy and Survey of Defensive Deception for Cybersecurity and Privacy

OpenAIRE

Pawlick, Jeffrey; Colbert, Edward; Zhu, Quanyan

2017-01-01

Cyber attacks on both databases and critical infrastructure have threatened public and private sectors. Meanwhile, ubiquitous tracking and wearable computing have infringed upon privacy. Advocates and engineers have recently proposed using defensive deception as a means to leverage the information asymmetry typically enjoyed by attackers as a tool for defenders. The term deception, however, has been employed broadly and with a variety of meanings. In this paper, we survey 24 articles from 200...

Fourteen Reasons Privacy Matters: A Multidisciplinary Review of Scholarly Literature

Science.gov (United States)

Magi, Trina J.

2011-01-01

Librarians have long recognized the importance of privacy to intellectual freedom. As digital technology and its applications advance, however, efforts to protect privacy may become increasingly difficult. With some users behaving in ways that suggest they do not care about privacy and with powerful voices claiming that privacy is dead, librarians…

Privacy, autonomy, and public policy: French and North American perspectives.

Science.gov (United States)

Merchant, Jennifer

2016-12-01

This article raises the question of whether in both the United States and in France, an individual's autonomy and private decision-making right(s) in matters of health care and access to reproductive technologies can be conciliated with the general interest, and more specifically, the role of the State. Can a full-fledged right to privacy, the ability to exercise one's autonomy, exist alongside the general interest, and depend neither on financial resources like in the United States nor on centralised government decisions or the medical hierarchy like in France? The contrast between these two modern democracies justify the importance of comparing them. I will demonstrate that overlaps do exist: the free exercise of religion and opinion, freedom of expression, the inherent value of each individual. What differs, however, are the institutions and how they provide, protect, promote, or frame access to and expressions of these democratic principles. The impact of the global economy, the exposure of people around the world to each other via the internet, and the mirror effects of social media, blogs, and other such forums, have created new perspectives that countries project onto one another. For example, does France now seem to tout 'autonomy' as a new and important value because it appears to be an 'American success story'? Does the United States now seem to value human rights and a social-democratic approach because of the 'French model'? There seems to be some truth behind these assertions, but as this article will demonstrate, the portrayals of what the 'right to privacy' is in the United States and what 'socialised medicine' is in France are not necessarily fully accurate.

Understanding Engagement with the Privacy Domain Through Design Research.

OpenAIRE

Vasalou, A.; Oostveen, A.; Bowers, Christopher; Beale, R.

2015-01-01

This paper reports findings from participatory design research aimed at uncovering how technological interventions can engage users in the domain of privacy. Our work was undertaken in the context of a new design concept “Privacy Trends” whose aspiration is to foster technology users’ digital literacy regarding ongoing privacy risks and elucidate how such risks fit within existing social, organizational and political systems, leading to a longer term privacy concern. Our study reveals two cha...

Privacy Preserving Mapping Schemes Supporting Comparison

NARCIS (Netherlands)

Tang, Qiang

2010-01-01

To cater to the privacy requirements in cloud computing, we introduce a new primitive, namely Privacy Preserving Mapping (PPM) schemes supporting comparison. An PPM scheme enables a user to map data items into images in such a way that, with a set of images, any entity can determine the <, =, >

Privacy een grondrecht, maar ook handelswaar

NARCIS (Netherlands)

Olsthoorn, P.

2015-01-01

Snoeihard uit journalist Brenno de Winter zijn commentaar op sprekers over privacy tijdens het NLIGF congres 2015. Hij zet Bart Schermer, adviseur van bedrijven en organisaties in de hoek. Die heeft net betoogd dat privacy geen juk (‘korvee’) mag vormen maar inzet moet zijn van innovatie door

How children with special health care needs affect the employment decisions of low-income parents.

Science.gov (United States)

Loprest, Pamela; Davidoff, Amy

2004-09-01

To better understand the impact of having a child with special health care needs (CSHCN), on low-income parents' employment decisions. Using data from the 1999 and 2000 National Health Interview Survey (NHIS), we estimate multivariate statistical regressions (logit and tobit models) to estimate the relationship between having a CSHCN and the likelihood of employment and hours of employment for a sample-of low-income single parents. Controlling for differences in demographic and family characteristics, we find no significant association between having a CSHCN and the probability of work or the number of hours worked among low-income single-parent families. Separate analysis of different dimensions of special health care needs shows that parents of children with activity limitations are significantly less likely to work and work fewer hours. This result does not hold true for the group of children defined based on elevated or special service use, or for the group of children with specific chronic conditions. These results indicate that only a specific subset of children with special needs present difficulties for low-income parents' work. This suggests that policies to help low-income single parents of children with disabilities move into work should target this specific subset of children with special health care needs.

User Privacy and Empowerment: Trends, Challenges, and Opportunities

DEFF Research Database (Denmark)

Dhotre, Prashant Shantaram; Olesen, Henning; Khajuria, Samant

2018-01-01

to the service providers. Considering business models that are slanted towards service provid-ers, privacy has become a crucial issue in today’s fast growing digital world. Hence, this paper elaborates personal information flow between users, service providers, and data brokers. We also discussed the significant...... privacy issues like present business models, user awareness about privacy and user control over per-sonal data. To address such issues, this paper also identified challenges that com-prise unavailability of effective privacy awareness or protection tools and the ef-fortless way to study and see the flow...... of personal information and its manage-ment. Thus, empowering users and enhancing awareness are essential to compre-hending the value of secrecy. This paper also introduced latest advances in the domain of privacy issues like User Managed Access (UMA) can state suitable requirements for user empowerment...

Space in Space: Designing for Privacy in the Workplace

Science.gov (United States)

Akin, Jonie

2015-01-01

Privacy is cultural, socially embedded in the spatial, temporal, and material aspects of the lived experience. Definitions of privacy are as varied among scholars as they are among those who fight for their personal rights in the home and the workplace. Privacy in the workplace has become a topic of interest in recent years, as evident in discussions on Big Data as well as the shrinking office spaces in which people work. An article in The New York Times published in February of this year noted that "many companies are looking to cut costs, and one way to do that is by trimming personal space". Increasingly, organizations ranging from tech start-ups to large corporations are downsizing square footage and opting for open-office floorplans hoping to trim the budget and spark creative, productive communication among their employees. The question of how much is too much to trim when it comes to privacy, is one that is being actively addressed by the National Aeronautics and Space Administration (NASA) as they explore habitat designs for future space missions. NASA recognizes privacy as a design-related stressor impacting human health and performance. Given the challenges of sustaining life in an isolated, confined, and extreme environment such as Mars, NASA deems it necessary to determine the acceptable minimal amount for habitable volume for activities requiring at least some level of privacy in order to support optimal crew performance. Ethnographic research was conducted in 2013 to explore perceptions of privacy and privacy needs among astronauts living and working in space as part of a long-distance, long-duration mission. The allocation of space, or habitable volume, becomes an increasingly complex issue in outer space due to the costs associated with maintaining an artificial, confined environment bounded by limitations of mass while located in an extreme environment. Privacy in space, or space in space, provides a unique case study of the complex notions of

SRIM Scheme: An Impression-Management Scheme for Privacy-Aware Photo-Sharing Users

Directory of Open Access Journals (Sweden)

Fenghua Li

2018-02-01

Full Text Available With the development of online social networks (OSNs and modern smartphones, sharing photos with friends has become one of the most popular social activities. Since people usually prefer to give others a positive impression, impression management during photo sharing is becoming increasingly important. However, most of the existing privacy-aware solutions have two main drawbacks: ① Users must decide manually whether to share each photo with others or not, in order to build the desired impression; and ② users run a high risk of leaking sensitive relational information in group photos during photo sharing, such as their position as part of a couple, or their sexual identity. In this paper, we propose a social relation impression-management (SRIM scheme to protect relational privacy and to automatically recommend an appropriate photo-sharing policy to users. To be more specific, we have designed a lightweight face-distance measurement that calculates the distances between users’ faces within group photos by relying on photo metadata and face-detection results. These distances are then transformed into relations using proxemics. Furthermore, we propose a relation impression evaluation algorithm to evaluate and manage relational impressions. We developed a prototype and employed 21 volunteers to verify the functionalities of the SRIM scheme. The evaluation results show the effectiveness and efficiency of our proposed scheme. Keywords: Impression management, Relational privacy, Photo sharing, Policy recommendation, Proxemics

Overview of Privacy in Social Networking Sites (SNS)

Science.gov (United States)

Powale, Pallavi I.; Bhutkar, Ganesh D.

2013-07-01

Social Networking Sites (SNS) have become an integral part of communication and life style of people in today's world. Because of the wide range of services offered by SNSs mostly for free of cost, these sites are attracting the attention of all possible Internet users. Most importantly, users from all age groups have become members of SNSs. Since many of the users are not aware of the data thefts associated with information sharing, they freely share their personal information with SNSs. Therefore, SNSs may be used for investigating users' character and social habits by familiar or even unknown persons and agencies. Such commercial and social scenario, has led to number of privacy and security threats. Though, all major issues in SNSs need to be addressed, by SNS providers, privacy of SNS users is the most crucial. And therefore, in this paper, we have focused our discussion on "privacy in SNSs". We have discussed different ways of Personally Identifiable Information (PII) leakages from SNSs, information revelation to third-party domains without user consent and privacy related threats associated with such information sharing. We expect that this comprehensive overview on privacy in SNSs will definitely help in raising user awareness about sharing data and managing their privacy with SNSs. It will also help SNS providers to rethink about their privacy policies.

The (Positive) Effect of Macroeconomic Crises on the Schooling and Employment Decisions of Children in a Middle-Income Country.

Science.gov (United States)

Schady, Norbert R.

This paper analyzes the effects of the 1988-1992 macroeconomic crisis in Peru on the schooling and employment decisions taken by school-aged children in urban areas. It discusses the Peruvian setting during this period and describes the data used in the analysis and the econometric specification. Two basic findings were made: (1) there was no…

Trust-aware Privacy Control for Social Media

OpenAIRE

Li, Na; Najafian-Razavi, Maryam; Gillet, Denis

2011-01-01

Due to the huge exposure of personal information in social media, a challenge now is to design effective privacy mechanisms that protect against unauthorized access to social data. In this paper, a trust model for social media is first presented. Based on the trust model, a trust-aware privacy control protocol is proposed, that exploits the underlying inter-entity trust information. The objective is to design a fine-grained privacy scheme that ensures a user’s online information is disclosed ...

Electronic Mail, Privacy, and the Electronic Communications Privacy Act of 1986: Technology in Search of Law.

Science.gov (United States)

Samoriski, Jan H.; And Others

1996-01-01

Attempts to clarify the status of e-mail privacy under the Electronic Communications Privacy Act of 1986 (ECPA). Examines current law and the paucity of definitive case law. A review of cases and literature suggests there is a gap in the existing ECPA that allows for potentially abusive electronic monitoring and interception of e-mail,…

Development and Analyses of Privacy Management Models in Online Social Networks Based on Communication Privacy Management Theory

Science.gov (United States)

Lee, Ki Jung

2013-01-01

Online social networks (OSNs), while serving as an emerging means of communication, promote various issues of privacy. Users of OSNs encounter diverse occasions that lead to invasion of their privacy, e.g., published conversation, public revelation of their personally identifiable information, and open boundary of distinct social groups within…

Preserving location and absence privacy in geo-social networks

DEFF Research Database (Denmark)

Freni, Dario; Vicente, Carmen Ruiz; Mascetti, Sergio

2010-01-01

accessible to multiple users. This renders it difficult for GeoSN users to control which information about them is available and to whom it is available. This paper addresses two privacy threats that occur in GeoSNs: location privacy and absence privacy. The former concerns the availability of information...... about the presence of users in specific locations at given times, while the latter concerns the availability of information about the absence of an individual from specific locations during given periods of time. The challenge addressed is that of supporting privacy while still enabling useful services....... The resulting geo-aware social networks (GeoSNs) pose privacy threats beyond those found in location-based services. Content published in a GeoSN is often associated with references to multiple users, without the publisher being aware of the privacy preferences of those users. Moreover, this content is often...

Human centric security and privacy for the IoT using formal techniques

OpenAIRE

Kammueller, Florian

2018-01-01

In this paper, we summarize a new approach to make security and privacy issues in the Internet of Things (IoT) more transparent for vulnerable users. As a pilot project, we investigate monitoring of Alzheimer’s patients for a low-cost early warning system based on bio-markers supported with smart technologies. To provide trustworthy and secure IoT infrastructures, we employ formal methods and techniques that allow specification of IoT scenarios with human actors, refinement and analysis of at...

Privacy Training Program

Science.gov (United States)

Recognizing that training and awareness are critical to protecting agency Personally Identifiable Information (PII), the EPA is developing online training for privacy contacts in its programs and regions.

The Effects of Public Concern for Information Privacy on the Adoption of Health Information Exchanges (HIEs) by Healthcare Entities.

Science.gov (United States)

Esmaeilzadeh, Pouyan

2018-05-08

The implementation of Health Information Exchanges (HIEs) by healthcare organizations may not achieve the desired outcomes as consumers may request that their health information remains unshared because of information privacy concerns. Drawing on the insights of concern for information privacy (CFIP) literature, this work extends the application of CFIP to the HIE domain. This study attempts to develop and test a model centered on the four dimensions of CFIP construct (collection, errors, unauthorized access, and secondary use) and their antecedents to predict consumers' opt-in behavioral intention toward HIE in the presence of the perceived health status' effects. We conducted an online survey in the United States using 826 samples. The results demonstrate that the perceived health information sensitivity and computer anxiety meaningfully contribute to information privacy concerns and CFIP construct significantly impedes consumers' opt-in decision to HIEs. Interestingly, contrary to our expectation, perceived poor health status considerably attenuates the negative effects exerted by CFIP on opt-in intention. The model proposed by this study can be used as a useful conceptual tool by both further studies and practitioners to examine the complex nature of patients' reactions to information privacy threats associated with the use of HIE technology in the healthcare industry.

The HIPAA privacy rule and HR/benefits outsourcing: does the business associate label belong on your recordkeeper?

Science.gov (United States)

Hilger, Denise D

2004-01-01

Employers that sponsor group health plans and serve as the plan administrator of those plans are required by the HIPAA Privacy Rule to execute business associate contracts with vendors that provide services on behalf of the plans. The business associate contracts must contain many specific provisions regarding the protection, use and disclosure of health information. This article looks at the implications of imposing business associate contract obligations on an integrated HR and benefits-outsourcing recordkeeper and cautions employers against an overly broad application of the requirements.

49 CFR 801.56 - Unwarranted invasion of personal privacy.

Science.gov (United States)

2010-10-01

... 49 Transportation 7 2010-10-01 2010-10-01 false Unwarranted invasion of personal privacy. 801.56... Unwarranted invasion of personal privacy. Pursuant to 5 U.S.C. 552(b)(6), any personal, medical, or similar... a clearly unwarranted invasion of the person's personal privacy. ...

Privacy na Babel : de vermeende ongrijpbaarheid van het privacybegrip

NARCIS (Netherlands)

Vedder, A.H.

1998-01-01

De veel voorkomende en onlangs weer door Serge Gutwirth naar voren gebrachte opvatting dat privacy principieel ondefinieerbaar is, is onjuist. Voor de verdediging van privacy als waarde moet men aannemen dat privacy weliswaar een vaag complex begrip is, dat voor een deel contextueel bepaald wordt,

20 CFR 401.30 - Privacy Act and other responsibilities.

Science.gov (United States)

2010-04-01

... information privacy issues, including those relating to the collection, use, sharing, and disclosure of... 20 Employees' Benefits 2 2010-04-01 2010-04-01 false Privacy Act and other responsibilities. 401.30 Section 401.30 Employees' Benefits SOCIAL SECURITY ADMINISTRATION PRIVACY AND DISCLOSURE OF...

Towards quantum-based privacy and voting

International Nuclear Information System (INIS)

Hillery, Mark; Ziman, Mario; Buzek, Vladimir; Bielikova, Martina

2006-01-01

The privacy of communicating participants is often of paramount importance, but in some situations it is an essential condition. A typical example is a fair (secret) voting. We analyze in detail communication privacy based on quantum resources, and we propose new quantum protocols. Possible generalizations that would lead to voting schemes are discussed

The Privacy Attitude Questionnaire (PAQ): Initial Development and Validation

OpenAIRE

Chignell, Mark H.; Quan-Haase, Anabel; Gwizdka, Jacek

2003-01-01

Privacy has been identified as a key issue in a variety of domains, including electronic commerce and public policy. While there are many discussions of privacy issues from a legal and policy perspective, there is little information on the structure of privacy as a psychometric construct. Our goal is to develop a method for measuring attitudes towards privacy that can guide the design and personalization of services. This paper reports on the development of an initial version of the PAQ. Four...

The Privacy Jungle:On the Market for Data Protection in Social Networks

Science.gov (United States)

Bonneau, Joseph; Preibusch, Sören

We have conducted the first thorough analysis of the market for privacy practices and policies in online social networks. From an evaluation of 45 social networking sites using 260 criteria we find that many popular assumptions regarding privacy and social networking need to be revisited when considering the entire ecosystem instead of only a handful of well-known sites. Contrary to the common perception of an oligopolistic market, we find evidence of vigorous competition for new users. Despite observing many poor security practices, there is evidence that social network providers are making efforts to implement privacy enhancing technologies with substantial diversity in the amount of privacy control offered. However, privacy is rarely used as a selling point, even then only as auxiliary, nondecisive feature. Sites also failed to promote their existing privacy controls within the site. We similarly found great diversity in the length and content of formal privacy policies, but found an opposite promotional trend: though almost all policies are not accessible to ordinary users due to obfuscating legal jargon, they conspicuously vaunt the sites' privacy practices. We conclude that the market for privacy in social networks is dysfunctional in that there is significant variation in sites' privacy controls, data collection requirements, and legal privacy policies, but this is not effectively conveyed to users. Our empirical findings motivate us to introduce the novel model of a privacy communication game, where the economically rational choice for a site operator is to make privacy control available to evade criticism from privacy fundamentalists, while hiding the privacy control interface and privacy policy to maximize sign-up numbers and encourage data sharing from the pragmatic majority of users.

Privacy concerns in smart cities

OpenAIRE

van Zoonen, Liesbet

2016-01-01

textabstractIn this paper a framework is constructed to hypothesize if and how smart city technologies and urban big data produce privacy concerns among the people in these cities (as inhabitants, workers, visitors, and otherwise). The framework is built on the basis of two recurring dimensions in research about people's concerns about privacy: one dimensions represents that people perceive particular data as more personal and sensitive than others, the other dimension represents that people'...

Social Networking Sites: College Students' Patterns of Use and Concerns for Privacy and Trust by Gender, Ethnicity, and Employment Status

Science.gov (United States)

Kyei-Blankson, Lydia; Iyer, Kamakshi S.; Subramanian, Lavanya

2016-01-01

Social Networking Sites (SNSs) are web-based facilities that allow for social interaction, sharing, communication and collaboration in today's world. In the current study, patterns of use of social media among students at a public Midwestern university are examined. In addition, students were surveyed regarding concerns for privacy and trust and…

Users or Students? Privacy in University MOOCS.

Science.gov (United States)

Jones, Meg Leta; Regner, Lucas

2016-10-01

Two terms, student privacy and Massive Open Online Courses, have received a significant amount of attention recently. Both represent interesting sites of change in entrenched structures, one educational and one legal. MOOCs represent something college courses have never been able to provide: universal access. Universities not wanting to miss the MOOC wave have started to build MOOC courses and integrate them into the university system in various ways. However, the design and scale of university MOOCs create tension for privacy laws intended to regulate information practices exercised by educational institutions. Are MOOCs part of the educational institutions these laws and policies aim to regulate? Are MOOC users students whose data are protected by aforementioned laws and policies? Many university researchers and faculty members are asked to participate as designers and instructors in MOOCs but may not know how to approach the issues proposed. While recent scholarship has addressed the disruptive nature of MOOCs, student privacy generally, and data privacy in the K-12 system, we provide an in-depth description and analysis of the MOOC phenomenon and the privacy laws and policies that guide and regulate educational institutions today. We offer privacy case studies of three major MOOC providers active in the market today to reveal inconsistencies among MOOC platform and the level and type of legal uncertainty surrounding them. Finally, we provide a list of organizational questions to pose internally to navigate the uncertainty presented to university MOOC teams.

Privacy Management and Networked PPD Systems - Challenges Solutions.

Science.gov (United States)

Ruotsalainen, Pekka; Pharow, Peter; Petersen, Francoise

2015-01-01

Modern personal portable health devices (PPDs) become increasingly part of a larger, inhomogeneous information system. Information collected by sensors are stored and processed in global clouds. Services are often free of charge, but at the same time service providers' business model is based on the disclosure of users' intimate health information. Health data processed in PPD networks is not regulated by health care specific legislation. In PPD networks, there is no guarantee that stakeholders share same ethical principles with the user. Often service providers have own security and privacy policies and they rarely offer to the user possibilities to define own, or adapt existing privacy policies. This all raises huge ethical and privacy concerns. In this paper, the authors have analyzed privacy challenges in PPD networks from users' viewpoint using system modeling method and propose the principle "Personal Health Data under Personal Control" must generally be accepted at global level. Among possible implementation of this principle, the authors propose encryption, computer understandable privacy policies, and privacy labels or trust based privacy management methods. The latter can be realized using infrastructural trust calculation and monitoring service. A first step is to require the protection of personal health information and the principle proposed being internationally mandatory. This requires both regulatory and standardization activities, and the availability of open and certified software application which all service providers can implement. One of those applications should be the independent Trust verifier.

Just in Time Research: Privacy Practices

Science.gov (United States)

Grama, Joanna Lyn

2014-01-01

The January 2014 edition of the ECAR Update subscriber newsletter included an informal poll on information privacy practices. The poll was intended to collect a quick snapshot of the higher education community's thoughts on this important topic during Data Privacy Month. Results of the poll will be used to inform EDUCAUSE research, programs,…

Privacy-Preserving Biometric Authentication: Challenges and Directions

Directory of Open Access Journals (Sweden)

Elena Pagnin

2017-01-01

Full Text Available An emerging direction for authenticating people is the adoption of biometric authentication systems. Biometric credentials are becoming increasingly popular as a means of authenticating people due to the wide range of advantages that they provide with respect to classical authentication methods (e.g., password-based authentication. The most characteristic feature of this authentication method is the naturally strong bond between a user and her biometric credentials. This very same advantageous property, however, raises serious security and privacy concerns in case the biometric trait gets compromised. In this article, we present the most challenging issues that need to be taken into consideration when designing secure and privacy-preserving biometric authentication protocols. More precisely, we describe the main threats against privacy-preserving biometric authentication systems and give directions on possible countermeasures in order to design secure and privacy-preserving biometric authentication protocols.

Policy Implications for Continuous Employment Decisions of High School Principals: An Alternative Methodological Approach for Using High-Stakes Testing Outcomes

Science.gov (United States)

Young, I. Phillip; Fawcett, Paul

2013-01-01

Several teacher models exist for using high-stakes testing outcomes to make continuous employment decisions for principals. These models are reviewed, and specific flaws are noted if these models are retrofitted for principals. To address these flaws, a different methodology is proposed on the basis of actual field data. Specially addressed are…

Routes for breaching and protecting genetic privacy.

Science.gov (United States)

Erlich, Yaniv; Narayanan, Arvind

2014-06-01

We are entering an era of ubiquitous genetic information for research, clinical care and personal curiosity. Sharing these data sets is vital for progress in biomedical research. However, a growing concern is the ability to protect the genetic privacy of the data originators. Here, we present an overview of genetic privacy breaching strategies. We outline the principles of each technique, indicate the underlying assumptions, and assess their technological complexity and maturation. We then review potential mitigation methods for privacy-preserving dissemination of sensitive data and highlight different cases that are relevant to genetic applications.

Blood rights: the body and information privacy.

Science.gov (United States)

Alston, Bruce

2005-05-01

Genetic and other medical technology makes blood, human tissue and other bodily samples an immediate and accessible source of comprehensive personal and health information about individuals. Yet, unlike medical records, bodily samples are not subject to effective privacy protection or other regulation to ensure that individuals have rights to control the collection, use and transfer of such samples. This article examines the existing coverage of privacy legislation, arguments in favour of baseline protection for bodily samples as sources of information and possible approaches to new regulation protecting individual privacy rights in bodily samples.

Analysis of Privacy-Enhancing Identity Management Systems

DEFF Research Database (Denmark)

Adjei, Joseph K.; Olesen, Henning

Privacy has become a major issue for policy makers. This has been impelled by the rapid development of technologies that facilitate collection, distribution, storage, and manipulation of personal information. Business organizations are finding new ways of leveraging the value derived from consumer...... is an attempt to understand the relationship between individuals’ intentions to disclose personal information, their actual personal information disclosure behaviours, and how these can be leveraged to develop privacy-enhancing identity management systems (IDMS) that users can trust. Legal, regulatory...... and technological aspects of privacy and technology adoption are also discussed....

32 CFR 806b.30 - Evaluating information systems for Privacy Act compliance.

Science.gov (United States)

2010-07-01

... privacy issues are unchanged. (d) The depth and content of the Privacy Impact Assessment should be... 32 National Defense 6 2010-07-01 2010-07-01 false Evaluating information systems for Privacy Act... FORCE ADMINISTRATION PRIVACY ACT PROGRAM Privacy Impact Assessments § 806b.30 Evaluating information...

Employers' Statutory Vicarious Liability in Terms of the Protection of Personal Information Act

Directory of Open Access Journals (Sweden)

Daleen Millard

2016-07-01

Full Text Available A person whose privacy has been infringed upon through the unlawful, culpable processing of his or her personal information can sue the infringer's employer based on vicarious liability or institute action based on the Protection of Personal Information Act 4 of 2013 (POPI. Section 99(1 of POPI provides a person (a "data subject" whose privacy has been infringed upon with the right to institute a civil action against the responsible party. POPI defines the responsible party as the person who determines the purpose of and means for the processing of the personal information of data subjects. Although POPI does not equate a responsible party to an employer, the term "responsible party" is undoubtedly a synonym for "employer" in this context. By holding an employer accountable for its employees' unlawful processing of a data subject's personal information, POPI creates a form of statutory vicarious liability. Since the defences available to an employer at common law and developed by case law differ from the statutory defences available to an employer in terms of POPI, it is necessary to compare the impact this new statute has on employers. From a risk perspective, employers must be aware of the serious implications of POPI. The question that arises is whether the Act perhaps takes matters too far. This article takes a critical look at the statutory defences available to an employer in vindication of a vicarious liability action brought by a data subject in terms of section 99(1 of POPI. It compares the defences found in section 99(2 of POPI and the common-law defences available to an employer fending off a delictual claim founded on the doctrine of vicarious liability. To support the argument that the statutory vicarious liability created by POPI is too harsh, the defences contained in section 99(2 of POPI are further analogised with those available to an employer in terms of section 60(4 of the Employment Equity Act 55 of 1998 (EEA and other

MODEL REGULATION FOR DATA PRIVACY IN THE APPLICATION OF BIOMETRIC SMART CARD

Directory of Open Access Journals (Sweden)

Sinta Dewi

2017-03-01

This article will explore data privacy model regulation which is intended to regulate and protect  data privacy. This  regulatory model  combining several approaches in managing data privacy, especially in using biometric smardcard. Firstly, through laws that enforces the principles and international standards. Secondly, through the market approach (market-based solution which is derived through industry associations to help protect consumer data privacy by applying privacy policy in the form of a statement that the industry will protect consumers' privacy by implementing fair information principles. Third, through technological approach such as PET's (privacy enchasing technology,  i.e the techniques for anonymous and pseudo-anonymous payment, communication, and web access. Fourthly, through corporate privacy rules.

European Perspectives on Privacy in the Sharing Economy

DEFF Research Database (Denmark)

Ranzini, Giulia; Etter, Michael; Vermeulen, Ivar

Report from the EU H2020 Research Project Ps2Share: Participation, Privacy, and Power in the Sharing Economy. This report ‘European Perspectives on Privacy in the Sharing Economy’ forms one element of a European Union Horizon 2020 Research Project on the sharing economy: Ps2Share ‘Participation......, Privacy, and Power in the Sharing Economy’. The study is undertaken within the scope of the European Union’s Horizon 2020 research and innovation programme, funded under grant agreement No. 732117 and with the objective (ICT-35) of “Enabling responsible ICT-related research and innovation”. This project...... recommendations to Europe’s institutions. We focus on topics of participation, privacy, and power in the sharing economy....

PRIVACY CONCERNS IN FACEBOOK SITE

OpenAIRE

Vandana Singh

2014-01-01

Today social networking sites play an important role and inexpensive way to maintain existing relationships and present oneself. However, the increasing use of online sites give rise to privacy concerns and risks. All Internet sites are also under attack from phishers, fraudsters, and spammers. They aim to steal user information and expose users to unwanted spam. They have so many resources at their disposal.This paper studies the awareness of college students regarding the privacy in Faceboo...

The role of political affiliation in employment decisions: A model and research agenda.

Science.gov (United States)

Roth, Philip L; Goldberg, Caren B; Thatcher, Jason B

2017-09-01

Organizational researchers have studied how individuals identify with groups and organizations and how this affiliation influences behavior for decades (e.g., Tajfel, 1982). Interestingly, investigation into political affiliation and political affiliation similarity in the organizational sciences is extremely rare. This is striking, given the deep political divides that exist between groups of individuals described in the political science literature. We draw from theories based on similarity, organizational identification, and person-environment fit, as well as theoretical notions related to individuating information, to develop a model, the political affiliation model (PAM), which describes the implications of political affiliation and political similarity for employment decisions. We set forth a number of propositions based on PAM, to spur future research in the organizational sciences for a timely topic which has received little attention. (PsycINFO Database Record (c) 2017 APA, all rights reserved).

Service Outsourcing Character Oriented Privacy Conflict Detection Method in Cloud Computing

Directory of Open Access Journals (Sweden)

Changbo Ke

2014-01-01

Full Text Available Cloud computing has provided services for users as a software paradigm. However, it is difficult to ensure privacy information security because of its opening, virtualization, and service outsourcing features. Therefore how to protect user privacy information has become a research focus. In this paper, firstly, we model service privacy policy and user privacy preference with description logic. Secondly, we use the pellet reasonor to verify the consistency and satisfiability, so as to detect the privacy conflict between services and user. Thirdly, we present the algorithm of detecting privacy conflict in the process of cloud service composition and prove the correctness and feasibility of this method by case study and experiment analysis. Our method can reduce the risk of user sensitive privacy information being illegally used and propagated by outsourcing services. In the meantime, the method avoids the exception in the process of service composition by the privacy conflict, and improves the trust degree of cloud service providers.

Privacy Concerns: The Effects of the Latest FERPA Changes

Science.gov (United States)

Cossler, Christine

2010-01-01

Privacy, something once taken for granted, has again become top-of-mind for public school districts thanks to technology's increasing reach, as well as new changes to privacy laws governing student information. Recently, educators have had to face important changes to the Family Educational Rights and Privacy Act (FERPA), originally signed into…

Agent-Oriented Privacy-Based Information Brokering Architecture for Healthcare Environments

Directory of Open Access Journals (Sweden)

Abdulmutalib Masaud-Wahaishi

2009-01-01

Full Text Available Healthcare industry is facing a major reform at all levels—locally, regionally, nationally, and internationally. Healthcare services and systems become very complex and comprise of a vast number of components (software systems, doctors, patients, etc. that are characterized by shared, distributed and heterogeneous information sources with varieties of clinical and other settings. The challenge now faced with decision making, and management of care is to operate effectively in order to meet the information needs of healthcare personnel. Currently, researchers, developers, and systems engineers are working toward achieving better efficiency and quality of service in various sectors of healthcare, such as hospital management, patient care, and treatment. This paper presents a novel information brokering architecture that supports privacy-based information gathering in healthcare. Architecturally, the brokering is viewed as a layer of services where a brokering service is modeled as an agent with a specific architecture and interaction protocol that are appropriate to serve various requests. Within the context of brokering, we model privacy in terms of the entities ability to hide or reveal information related to its identities, requests, and/or capabilities. A prototype of the proposed architecture has been implemented to support information-gathering capabilities in healthcare environments using FIPA-complaint platform JADE.

Agent-oriented privacy-based information brokering architecture for healthcare environments.

Science.gov (United States)

Masaud-Wahaishi, Abdulmutalib; Ghenniwa, Hamada

2009-01-01

Healthcare industry is facing a major reform at all levels-locally, regionally, nationally, and internationally. Healthcare services and systems become very complex and comprise of a vast number of components (software systems, doctors, patients, etc.) that are characterized by shared, distributed and heterogeneous information sources with varieties of clinical and other settings. The challenge now faced with decision making, and management of care is to operate effectively in order to meet the information needs of healthcare personnel. Currently, researchers, developers, and systems engineers are working toward achieving better efficiency and quality of service in various sectors of healthcare, such as hospital management, patient care, and treatment. This paper presents a novel information brokering architecture that supports privacy-based information gathering in healthcare. Architecturally, the brokering is viewed as a layer of services where a brokering service is modeled as an agent with a specific architecture and interaction protocol that are appropriate to serve various requests. Within the context of brokering, we model privacy in terms of the entities ability to hide or reveal information related to its identities, requests, and/or capabilities. A prototype of the proposed architecture has been implemented to support information-gathering capabilities in healthcare environments using FIPA-complaint platform JADE.

Employers' Attitudes toward Employing People with Mental Handicap.

Science.gov (United States)

Tse, John W. L.

1993-01-01

A survey of 66 Hong Kong companies and factories identified factors affecting employers' decisions to hire workers with mental handicaps. The five most important factors were emotional problems and personalities of workers, workers' ability to perform the job, availability of low-level jobs, productivity of workers, and possible special…

Human Rights, Privacy and Medical Research; Analysing UK Policy on Tissue and Data

OpenAIRE

Gillott, John

2006-01-01

This report is one outcome of a study into privacy and human genetics initiated by John Gillott and staff and trustees of the Genetic Interest Group. \\ud \\ud The initial focus was on genetics and human rights, with an emphasis on legal aspects and policy decisions informed by law and rights ideology. Article 8 of the Human Rights Act 1998, the right to respect for private and family life,1 is of most relevance to this study, though other Articles are considered.\\ud \\ud The study as a whole co...

32 CFR 505.3 - Privacy Act systems of records.

Science.gov (United States)

2010-07-01

... anticipated threats or hazards to the security or integrity of data, which could result in substantial harm... 32 National Defense 3 2010-07-01 2010-07-01 true Privacy Act systems of records. 505.3 Section 505... AND PUBLIC RELATIONS ARMY PRIVACY ACT PROGRAM § 505.3 Privacy Act systems of records. (a) Systems of...

GAIN RATIO BASED FEATURE SELECTION METHOD FOR PRIVACY PRESERVATION

Directory of Open Access Journals (Sweden)

R. Praveena Priyadarsini

2011-04-01

Full Text Available Privacy-preservation is a step in data mining that tries to safeguard sensitive information from unsanctioned disclosure and hence protecting individual data records and their privacy. There are various privacy preservation techniques like k-anonymity, l-diversity and t-closeness and data perturbation. In this paper k-anonymity privacy protection technique is applied to high dimensional datasets like adult and census. since, both the data sets are high dimensional, feature subset selection method like Gain Ratio is applied and the attributes of the datasets are ranked and low ranking attributes are filtered to form new reduced data subsets. K-anonymization privacy preservation technique is then applied on reduced datasets. The accuracy of the privacy preserved reduced datasets and the original datasets are compared for their accuracy on the two functionalities of data mining namely classification and clustering using naïve Bayesian and k-means algorithm respectively. Experimental results show that classification and clustering accuracy are comparatively the same for reduced k-anonym zed datasets and the original data sets.

Exploring the Perceived Measures of Privacy: RFID in Public Applications

Directory of Open Access Journals (Sweden)

Mohammad Alamgir Hossain

2014-06-01

Full Text Available The purpose of this study is to explore the measures that may protect privacy of the users - in the context of RFID use in public applications. More specifically, this study investigates what the users perceive to have securing their privacy, particularly for the RFID applications in public uses. Qualitative research approach has been utilised for this study. The author conducted two focus-group discussion sessions and eight in-depth interviews in two countries: one from Australasia region (Australia and the other from Asia (Bangladesh, assuming that the status, and the perceptions and tolerance of the citizens on privacy issues are different in the stated regions. The explored factors have been analysed from privacy perspectives. The findings show that, in developed and developing countries, the basic perceptions of the users on privacy protection are complimentary; however, privacy is a more serious concern in Australia than in Bangladesh. Data analysis proposed some attributes that may improve users’ privacy perceptions when RFID is used in public applications. This study is the single initiative that focuses on privacy of RFID users from national-use context. As practical implication, the proposed attributes can be exercised by the deploying agencies that implement RFID technology for citizens’ use.

Exercising privacy rights in medical science.

Science.gov (United States)

Hillmer, Michael; Redelmeier, Donald A

2007-12-04

Privacy laws are intended to preserve human well-being and improve medical outcomes. We used the Sportstats website, a repository of competitive athletic data, to test how easily these laws can be circumvented. We designed a haphazard, unrepresentative case-series analysis and applied unscientific methods based on an Internet connection and idle time. We found it both feasible and titillating to breach anonymity, stockpile personal information and generate misquotations. We extended our methods to snoop on celebrities, link to outside databases and uncover refusal to participate. Throughout our study, we evaded capture and public humiliation despite violating these 6 privacy fundamentals. We suggest that the legitimate principle of safeguarding personal privacy is undermined by the natural human tendency toward showing off.

E-Commerce and Privacy: Conflict and Opportunity.

Science.gov (United States)

Farah, Badie N.; Higby, Mary A.

2001-01-01

Electronic commerce has intensified conflict between businesses' need to collect data and customers' desire to protect privacy. Web-based privacy tools and legislation could add to the costs of e-commerce and reduce profitability. Business models not based on profiling customers may be needed. (SK)

Uniting Legislation with RFID Privacy-Enhancing Technologies

NARCIS (Netherlands)

Rieback, M.R.; Crispo, B.; Tanenbaum, A.S.

2005-01-01

RFID is a popular identification and automation technology with serious security and privacy threats. Legislation expounds upon the actual security and privacy needs of people in RFID-enabled environments, while technology helps to ensure legal compliance. This paper examines the main aims of RFID

Unveiling consumer’s privacy paradox behaviour in an economic exchange

Science.gov (United States)

Li, Xiao-Bai

2015-01-01

Privacy paradox is of great interest to IS researchers and firms gathering personal information. It has been studied from social, behavioural, and economic perspectives independently. However, prior research has not examined the degrees of influence these perspectives contribute to the privacy paradox problem. We combine both economic and behavioural perspectives in our study of the privacy paradox with a price valuation of personal information through an economic experiment combined with a behavioural study on privacy paradox. Our goal is to reveal more insights on the privacy paradox through economic valuation on personal information. Results indicate that general privacy concerns or individual disclosure concerns do not have a significant influence on the price valuation of personal information. Instead, prior disclosure behaviour in specific scenario, like with healthcare providers or social networks, is a better indicator of consumer price valuations. PMID:27708687

Enhancing Privacy Education with a Technical Emphasis in IT Curriculum

Directory of Open Access Journals (Sweden)

Svetlana Peltsverger

2015-12-01

Full Text Available The paper describes the development of four learning modules that focus on technical details of how a person’s privacy might be compromised in real-world scenarios. The paper shows how students benefited from the addition of hands-on learning experiences of privacy and data protection to the existing information technology courses. These learning modules raised students’ awareness of potential breaches of privacy as a user as well as a developer. The demonstration of a privacy breach in action helped students to design, configure, and implement technical solutions to prevent privacy violations. The assessment results demonstrate the strength of the technical approach.

Privacy After Snowden: Theoretical Developments and Public Opinion Perceptions of Privacy in Slovenia (Zasebnost po Snowdnu: novejša pojmovanja zasebnosti in odnos javnosti do le-te v Sloveniji

Directory of Open Access Journals (Sweden)

Aleš Završnik

2014-10-01

Full Text Available The article analyses recent theorizing of privacy arising from new technologies that allow constant and ubiquitous monitoring of our communication and movement. The theoretical part analyses Helen Nissenbaum’s theory of contextual integrity of privacy and pluralistic understanding of privacy by Daniel Solove. The empirical part presents the results of an online survey on the Slovenian public perceptions of privacy that includes questions on types and frequency of victimizations relating to the right to privacy; self-reported privacy violations; concern for the protection of one’s own privacy; perception of primary privacy offenders; the value of privacy; attitude towards data retention in public telecommunication networks; and acquaintance with the Information Commissioner of RS. Despite growing distrust of large internet corporations and – after Edward Snowden’s revelations – Intelligence agencies, the findings indicate a low degree of awareness and care for the protection of personal data.

Smartdata privacy meets evolutionary robotics

CERN Document Server

Harvey, Inman; Tomko, George

2013-01-01

Privacy by Design and the Promise of SmartData.- SmartData: the Need, the Goal and the Challenge.- Perspectives on Artificial Intelligence.- Context dependent information processing entails scale-free dynamics.- Philosophy and SmartData.- Relevance Realization and the Neurodynamics and Neural Connectivity of General Intelligence.- What Matters: Real Bodies and Virtual Worlds.- The development of autonomous virtual agents.- Patterns of Attractors in the "Brain"".- A Privacy-Enabled Mobile Computing Model Using Intelligent Cloud-Based Services.- Unconstraint the Population: the Benefits of Horiz

Security and privacy in biometrics

CERN Document Server

Campisi, Patrizio

2013-01-01

This important text/reference presents the latest secure and privacy-compliant techniques in automatic human recognition. Featuring viewpoints from an international selection of experts in the field, the comprehensive coverage spans both theory and practical implementations, taking into consideration all ethical and legal issues. Topics and features: presents a unique focus on novel approaches and new architectures for unimodal and multimodal template protection; examines signal processing techniques in the encrypted domain, security and privacy leakage assessment, and aspects of standardizati

Privacy for location-based services

CERN Document Server

Ghinita, Gabriel

2013-01-01

Sharing of location data enables numerous exciting applications, such as location-based queries, location-based social recommendations, monitoring of traffic and air pollution levels, etc. Disclosing exact user locations raises serious privacy concerns, as locations may give away sensitive information about individuals' health status, alternative lifestyles, political and religious affiliations, etc. Preserving location privacy is an essential requirement towards the successful deployment of location-based applications. These lecture notes provide an overview of the state-of-the-art in locatio

Health information technology knowledge and skills needed by HIT employers.

Science.gov (United States)

Fenton, S H; Gongora-Ferraez, M J; Joost, E

2012-01-01

To evaluate the health information technology (HIT) workforce knowledge and skills needed by HIT employers. Statewide face-to-face and online focus groups of identified HIT employer groups in Austin, Brownsville, College Station, Dallas, El Paso, Houston, Lubbock, San Antonio, and webinars for rural health and nursing informatics. HIT employers reported needing an HIT workforce with diverse knowledge and skills ranging from basic to advanced, while covering information technology, privacy and security, clinical practice, needs assessment, contract negotiation, and many other areas. Consistent themes were that employees needed to be able to learn on the job and must possess the ability to think critically and problem solve. Many employers wanted persons with technical skills, yet also the knowledge and understanding of healthcare operations. The HIT employer focus groups provided valuable insight into employee skills needed in this fast-growing field. Additionally, this information will be utilized to develop a statewide HIT workforce needs assessment survey.

Privacy Management Contracts And Economics, Using Service Level Agreements (Sla)

NARCIS (Netherlands)

L-F. Pau (Louis-François)

2005-01-01

textabstractRecognizing the importance of privacy management as a business process and a business support process, this paper proposes the use of service level agreements around privacy features, including qualitative and quantitative ones. It also casts privacy management into a business

Because we care: Privacy Dashboard on Firefox OS

OpenAIRE

Piekarska, Marta; Zhou, Yun; Strohmeier, Dominik; Raake, Alexander

2015-01-01

In this paper we present the Privacy Dashboard -- a tool designed to inform and empower the people using mobile devices, by introducing features such as Remote Privacy Protection, Backup, Adjustable Location Accuracy, Permission Control and Secondary-User Mode. We have implemented our solution on FirefoxOS and conducted user studies to verify the usefulness and usability of our tool. The paper starts with a discussion of different aspects of mobile privacy, how users perceive it and how much ...

Security, privacy, and confidentiality issues on the Internet

OpenAIRE

Kelly, Grant; McKenzie, Bruce

2002-01-01

We introduce the issues around protecting information about patients and related data sent via the Internet. We begin by reviewing three concepts necessary to any discussion about data security in a healthcare environment: privacy, confidentiality, and consent. We are giving some advice on how to protect local data. Authentication and privacy of e-mail via encryption is offered by Pretty Good Privacy (PGP) and Secure Multipurpose Internet Mail Extensions (S/MIME). The de facto Internet standa...

Privacy and technology challenges for ubiquitous social networking

DEFF Research Database (Denmark)

Sapuppo, Antonio; Seet, Boon-Chong

2015-01-01

towards important challenges such as social sensing, enabling social networking and privacy protection. In this paper we firstly investigate the methods and technologies for acquisition of the relevant context for promotion of sociability among inhabitants of USN environments. Afterwards, we review...... architectures and techniques for enabling social interactions between participants. Finally, we identify privacy as the major challenge for networking in USN environments. Consequently, we depict design guidelines and review privacy protection models for facilitating personal information disclosure....

Contemporary Privacy Theory Contributions to Learning Analytics

Science.gov (United States)

Heath, Jennifer

2014-01-01

With the continued adoption of learning analytics in higher education institutions, vast volumes of data are generated and "big data" related issues, including privacy, emerge. Privacy is an ill-defined concept and subject to various interpretations and perspectives, including those of philosophers, lawyers, and information systems…

Not All Adware Is Badware: Towards Privacy-Aware Advertising

Science.gov (United States)

Haddadi, Hamed; Guha, Saikat; Francis, Paul

Online advertising is a major economic force in the Internet today. A basic goal of any advertising system is to accurately target the ad to the recipient audience. While Internet technology brings the promise of extremely well-targeted ad placement, there have always been serious privacy concerns surrounding personalization. Today there is a constant battle between privacy advocates and advertisers, where advertisers try to push new personalization technologies, and privacy advocates try to stop them. As long as privacy advocates, however, are unable to propose an alternative personalization system that is private, this is a battle they are destined to lose. This paper presents the framework for such an alternative system, the Private Verifiable Advertising (Privad). We describe the privacy issues associated with today’s advertising systems, describe Privad, and discuss its pros and cons and the challenges that remain.

"Everybody Knows Everybody Else's Business"-Privacy in Rural Communities.