Democracy and genetic privacy: the value of bodily integrity.

Science.gov (United States)

Beckman, Ludvig

2005-01-01

The right to genetic privacy is presently being incorporated in legal systems all over the world. It remains largely unclear however what interests and values this right serves to protect. There are many different arguments made in the literature, yet none takes into account the problem of how particular values can be justified given the plurality of moral and religious doctrines in our societies. In this article theories of public reason are used in order to explore how genetic privacy could be justified in a way that is sensitive to the "fact of pluralism". The idea of public reason is specified as the idea that governments should appeal only to values and beliefs that are acceptable to all reasonable citizens in the justification of rights. In examining prevalent arguments for genetic privacy--based on the value of autonomy or on the value of intimacy--it is concluded that they do not meet this requirement. In dealing with this deficiency in the literature, an argument is developed that genetic privacy is fundamental to the democratic participation of all citizens. By referring to the preconditions of democratic citizenship, genetic privacy can be justified in a way that respects the plurality of comprehensive doctrines of morality and religion in contemporary societies.

Privacy of genetic information: a review of the laws in the United States.

Science.gov (United States)

Fuller, B; Ip, M

2001-01-01

This paper examines the privacy of genetic information and the laws in the United States designed to protect genetic privacy. While all 50 states have laws protecting the privacy of health information, there are many states that have additional laws that carve out additional protections specifically for genetic information. The majority of the individual states have enacted legislation to protect individuals from discrimination on the basis of genetic information, and most of this legislation also has provisions to protect the privacy of genetic information. On the Federal level, there has been no antidiscrimination or genetic privacy legislation. Secretary Donna Shalala of the Department of Health and Human Services has issued proposed regulations to protect the privacy of individually identifiable health information. These regulations encompass individually identifiable health information and do not make specific provisions for genetic information. The variety of laws regarding genetic privacy, some found in statutes to protect health information and some found in statutes to prevent genetic discrimination, presents challenges to those charged with administering and executing these laws.

Using genetic information while protecting the privacy of the soul.

Science.gov (United States)

Moor, J H

1999-01-01

Computing plays an important role in genetics (and vice versa). Theoretically, computing provides a conceptual model for the function and malfunction of our genetic machinery. Practically, contemporary computers and robots equipped with advanced algorithms make the revelation of the complete human genome imminent--computers are about to reveal our genetic souls for the first time. Ethically, computers help protect privacy by restricting access in sophisticated ways to genetic information. But the inexorable fact that computers will increasingly collect, analyze, and disseminate abundant amounts of genetic information made available through the genetic revolution, not to mention that inexpensive computing devices will make genetic information gathering easier, underscores the need for strong and immediate privacy legislation.

The social life of genes: privacy, property and the new genetics.

Science.gov (United States)

Everett, Margaret

2003-01-01

With the advent of the Human Genome Project and widespread fears over human cloning and medical privacy, a number of states have moved to protect genetic privacy. Oregon's unique Genetic Privacy Act of 1995, which declared that an individual had property rights to their DNA, has provoked national and international interest and controversy. This paper critically reviews the literature on genetic privacy and gene patenting from law, philosophy, science and anthropology. The debate in Oregon, from 1995 to 2001, illustrates many of the key issues in this emerging area. Both sides of the debate invoke the property metaphor, reinforcing deterministic assumptions and avoiding more fundamental questions about the integrity of the body and self-identity. The anthropological critique of the commodification of the body, and the concept of 'embodiment' are useful in analyzing the debate over DNA as property.

Privacy and Property? Multi-level Strategies for Protecting Personal Interests in Genetic Material

OpenAIRE

Laurie, Graeme

2003-01-01

The paper builds on earlier medico-legal work by Laurie on privacy in relation to genetic material. In this chapter, the author discusses not only Laurie's views as 'pro-privacy' but the limitations of privacy, particularly once information, genetic or otherwise, enters a public sphere. The article draws on cases and laws in the UK, continental Europe, and the US, to provide a comparative view in suggesting an alternative approach to privacy.

Genetic privacy in sports: clearing the hurdles.

Science.gov (United States)

Callier, Shawneequa

2012-12-01

As genomic medicine continues to advance and inform clinical care, knowledge gained is likely to influence sports medicine and training practices. Susceptibility to injury, sudden cardiac failure, and other serious conditions may one day be tackled on a subclinical level through genetic testing programs. In addition, athletes may increasingly consider using genetic testing services to maximize their performance potential. This paper assesses the role of privacy and genetic discrimination laws that would apply to athletes who engage in genetic testing and the limits of these protections.

Privacy, the individual and genetic information: a Buddhist perspective.

Science.gov (United States)

Hongladarom, Soraj

2009-09-01

Bioinformatics is a new field of study whose ethical implications involve a combination of bioethics, computer ethics and information ethics. This paper is an attempt to view some of these implications from the perspective of Buddhism. Privacy is a central concern in both computer/information ethics and bioethics, and with information technology being increasingly utilized to process biological and genetic data, the issue has become even more pronounced. Traditionally, privacy presupposes the individual self but as Buddhism does away with the ultimate conception of an individual self, it has to find a way to analyse and justify privacy that does not presuppose such a self. It does this through a pragmatic conception that does not depend on a positing of the substantial self, which is then found to be unnecessary for an effective protection of privacy. As it may be possible one day to link genetic data to individuals, the Buddhist conception perhaps offers a more flexible approach, as what is considered to be integral to an individual person is not fixed in objectivity but depends on convention.

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

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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.

An overview of human genetic privacy

OpenAIRE

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 nee...

Ensuring privacy in the study of pathogen genetics

OpenAIRE

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

2014-01-01

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 ri...

Privacy Threats and Practical Solutions for Genetic Risk Tests

OpenAIRE

Barman, Ludovic; El Graini, Mohammed-Taha; Raisaro, Jean Louis; Ayday, Erman; Hubaux, Jean-Pierre

2015-01-01

Recently, several solutions have been proposed to address the complex challenge of protecting individuals’ genetic data during personalized medicine tests. In this short paper, we analyze different privacy threats and propose simple countermeasures for the generic architecture mainly used in the literature. In particular, we present and evaluate a new practical solution against a critical attack of a malicious medical center trying to actively infer raw genetic information of patients.

Genetic information, non-discrimination, and privacy protections in genetic counseling practice.

Science.gov (United States)

Prince, Anya E R; Roche, Myra I

2014-12-01

The passage of the Genetic Information Non Discrimination Act (GINA) was hailed as a pivotal achievement that was expected to calm the fears of both patients and research participants about the potential misuse of genetic information. However, 6 years later, patient and provider awareness of legal protections at both the federal and state level remains discouragingly low, thereby, limiting their potential effectiveness. The increasing demand for genetic testing will expand the number of individuals and families who could benefit from obtaining accurate information about the privacy and anti-discriminatory protections that GINA and other laws extend. In this paper we describe legal protections that are applicable to individuals seeking genetic counseling, review the literature on patient and provider fears of genetic discrimination and examine their awareness and understandings of existing laws, and summarize how genetic counselors currently discuss genetic discrimination. We then present three genetic counseling cases to illustrate issues of genetic discrimination and provide relevant information on applicable legal protections. Genetic counselors have an unprecedented opportunity, as well as the professional responsibility, to disseminate accurate knowledge about existing legal protections to their patients. They can strengthen their effectiveness in this role by achieving a greater knowledge of current protections including being able to identify specific steps that can help protect genetic information.

SecureMA: protecting participant privacy in genetic association meta-analysis.

Science.gov (United States)

Xie, Wei; Kantarcioglu, Murat; Bush, William S; Crawford, Dana; Denny, Joshua C; Heatherly, Raymond; Malin, Bradley A

2014-12-01

Sharing genomic data is crucial to support scientific investigation such as genome-wide association studies. However, recent investigations suggest the privacy of the individual participants in these studies can be compromised, leading to serious concerns and consequences, such as overly restricted access to data. We introduce a novel cryptographic strategy to securely perform meta-analysis for genetic association studies in large consortia. Our methodology is useful for supporting joint studies among disparate data sites, where privacy or confidentiality is of concern. We validate our method using three multisite association studies. Our research shows that genetic associations can be analyzed efficiently and accurately across substudy sites, without leaking information on individual participants and site-level association summaries. Our software for secure meta-analysis of genetic association studies, SecureMA, is publicly available at http://github.com/XieConnect/SecureMA. Our customized secure computation framework is also publicly available at http://github.com/XieConnect/CircuitService. © The Author 2014. Published by Oxford University Press. All rights reserved. For Permissions, please e-mail: journals.permissions@oup.com.

Reassessing insurers' access to genetic information: genetic privacy, ignorance, and injustice.

Science.gov (United States)

Feiring, Eli

2009-06-01

Many countries have imposed strict regulations on the genetic information to which insurers have access. Commentators have warned against the emerging body of legislation for different reasons. This paper demonstrates that, when confronted with the argument that genetic information should be available to insurers for health insurance underwriting purposes, one should avoid appeals to rights of genetic privacy and genetic ignorance. The principle of equality of opportunity may nevertheless warrant restrictions. A choice-based account of this principle implies that it is unfair to hold people responsible for the consequences of the genetic lottery, since we have no choice in selecting our genotype or the expression of it. However appealing, this view does not take us all the way to an adequate justification of inaccessibility of genetic information. A contractarian account, suggesting that health is a condition of opportunity and that healthcare is an essential good, seems more promising. I conclude that if or when predictive medical tests (such as genetic tests) are developed with significant actuarial value, individuals have less reason to accept as fair institutions that limit access to healthcare on the grounds of risk status. Given the assumption that a division of risk pools in accordance with a rough estimate of people's level of (genetic) risk will occur, fairness and justice favour universal health insurance based on solidarity.

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.

Laboratory specimens and genetic privacy: evolution of legal theory.

Science.gov (United States)

Lewis, Michelle Huckaby

2013-03-01

Although laboratory specimens are an important resource for biomedical research, controversy has arisen when research has been conducted without the knowledge or consent of the individuals who were the source of the specimens. This paper summarizes the most important litigation regarding the research use of laboratory specimens and traces the evolution of legal theory from property claims to claims related to genetic privacy interests. © 2013 American Society of Law, Medicine & Ethics, Inc.

Sharing privacy-sensitive access to neuroimaging and genetics data: a review and preliminary validation.

Science.gov (United States)

Sarwate, Anand D; Plis, Sergey M; Turner, Jessica A; Arbabshirani, Mohammad R; Calhoun, Vince D

2014-01-01

The growth of data sharing initiatives for neuroimaging and genomics represents an exciting opportunity to confront the "small N" problem that plagues contemporary neuroimaging studies while further understanding the role genetic markers play in the function of the brain. When it is possible, open data sharing provides the most benefits. However, some data cannot be shared at all due to privacy concerns and/or risk of re-identification. Sharing other data sets is hampered by the proliferation of complex data use agreements (DUAs) which preclude truly automated data mining. These DUAs arise because of concerns about the privacy and confidentiality for subjects; though many do permit direct access to data, they often require a cumbersome approval process that can take months. An alternative approach is to only share data derivatives such as statistical summaries-the challenges here are to reformulate computational methods to quantify the privacy risks associated with sharing the results of those computations. For example, a derived map of gray matter is often as identifiable as a fingerprint. Thus alternative approaches to accessing data are needed. This paper reviews the relevant literature on differential privacy, a framework for measuring and tracking privacy loss in these settings, and demonstrates the feasibility of using this framework to calculate statistics on data distributed at many sites while still providing privacy.

Sharing privacy-sensitive access to neuroimaging and genetics data: a review and preliminary validation

Directory of Open Access Journals (Sweden)

Anand D. Sarwate

2014-04-01

Full Text Available The growth of data sharing initiatives for neuroimaging and genomics represents an exciting opportunity to confront the ``small $N$'' problem that plagues contemporary neuroimaging studies while further understanding the role genetic markers play in in the function of the brain. When it is possible, open data sharing provides the most benefits. However some data cannot be shared at all due to privacy concerns and/or risk of re-identification. Sharing other data sets is hampered by the proliferation of complex data use agreements (DUAs which preclude truly automated data mining. These DUAs arise because of concerns about the privacy and confidentiality for subjects; though many do permit direct access to data, they often require a cumbersome approval process that can take months. An alternative approach is to only share data derivatives such as statistical summaries -- the challenges here are to reformulate computational methods to quantify the privacy risks associated with sharing the results of those computations. For example, a derived map of gray matter is often as identifiable as a fingerprint. Thus alternative approaches to accessing data are needed. This paper reviews the relevant literature on differential privacy, a framework for measuring and tracking privacy loss in these settings, and demonstrates the feasibility of using this framework to calculate statistics on data distributed at many sites while still providing privacy.

Sharing privacy-sensitive access to neuroimaging and genetics data: a review and preliminary validation

Science.gov (United States)

Sarwate, Anand D.; Plis, Sergey M.; Turner, Jessica A.; Arbabshirani, Mohammad R.; Calhoun, Vince D.

2014-01-01

The growth of data sharing initiatives for neuroimaging and genomics represents an exciting opportunity to confront the “small N” problem that plagues contemporary neuroimaging studies while further understanding the role genetic markers play in the function of the brain. When it is possible, open data sharing provides the most benefits. However, some data cannot be shared at all due to privacy concerns and/or risk of re-identification. Sharing other data sets is hampered by the proliferation of complex data use agreements (DUAs) which preclude truly automated data mining. These DUAs arise because of concerns about the privacy and confidentiality for subjects; though many do permit direct access to data, they often require a cumbersome approval process that can take months. An alternative approach is to only share data derivatives such as statistical summaries—the challenges here are to reformulate computational methods to quantify the privacy risks associated with sharing the results of those computations. For example, a derived map of gray matter is often as identifiable as a fingerprint. Thus alternative approaches to accessing data are needed. This paper reviews the relevant literature on differential privacy, a framework for measuring and tracking privacy loss in these settings, and demonstrates the feasibility of using this framework to calculate statistics on data distributed at many sites while still providing privacy. PMID:24778614

Medical privacy and the disclosure of personal medical information: the beliefs and experiences of those with genetic and other clinical conditions.

Science.gov (United States)

Kass, Nancy E; Hull, Sara Chandros; Natowicz, Marvin R; Faden, Ruth R; Plantinga, Laura; Gostin, Lawrence O; Slutsman, Julia

2004-07-30

There has been heightened legislative attention to medical privacy and to protections from genetic discrimination, without large-scale studies to document privacy concerns or analysis of whether experiences differ by whether the condition is genetic (defined here as a single-gene disorder) or non-genetic. To determine whether experiences regarding privacy, disclosure, and consequences of disclosure differ by whether one's medical condition is genetic, we conducted a descriptive study with one-time, structured quantitative and qualitative interviews. We interviewed approximately 100 adults or parents of children with each of the following medical conditions: sickle cell disease, cystic fibrosis, diabetes, and HIV, and 200 adults with or at risk for breast cancer or colon cancer. The percentages of the total 597 respondents experiencing positive or negative consequences of disclosure and the degree to which experiences differed by whether the condition was genetic were the outcomes of interest. Seventy-four percent were glad and 13% regretted others knew about their condition; these findings did not differ significantly by genetic vs. non-genetic condition. Reports of job and health insurance discrimination were not uncommon for the overall study population (19 and 27%, respectively) but were more likely among those with genetic conditions (30 and 37%, respectively). Legislation and other policy-making should target the needs of persons with all conditions and not focus exclusively on genetic discrimination, given that experiences and concerns generally do not differ based on the genetic etiology of the condition. Copyright 2004 Wiley-Liss, Inc.

Privacy and ethics in pediatric environmental health research-part I: genetic and prenatal testing.

Science.gov (United States)

Fisher, Celia B

2006-10-01

The pressing need for empirically informed public policies aimed at understanding and promoting children's health has challenged environmental scientists to modify traditional research paradigms and reevaluate their roles and obligations toward research participants. Methodologic approaches to children's environmental health research raise ethical challenges for which federal regulations may provide insufficient guidance. In this article I begin with a general discussion of privacy concerns and informed consent within pediatric environmental health research contexts. I then turn to specific ethical challenges associated with research on genetic determinants of environmental risk, prenatal studies and maternal privacy, and data causing inflicted insight or affecting the informational rights of third parties.

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.

The "GeneTrustee": a universal identification system that ensures privacy and confidentiality for human genetic databases.

Science.gov (United States)

Burnett, Leslie; Barlow-Stewart, Kris; Proos, Anné L; Aizenberg, Harry

2003-05-01

This article describes a generic model for access to samples and information in human genetic databases. The model utilises a "GeneTrustee", a third-party intermediary independent of the subjects and of the investigators or database custodians. The GeneTrustee model has been implemented successfully in various community genetics screening programs and has facilitated research access to genetic databases while protecting the privacy and confidentiality of research subjects. The GeneTrustee model could also be applied to various types of non-conventional genetic databases, including neonatal screening Guthrie card collections, and to forensic DNA samples.

The medical examination in United States immigration applications: the potential use of genetic testing leads to heightened privacy concerns.

Science.gov (United States)

Burroughs, A Maxwell

2005-01-01

The medical examination has been an integral part of the immigration application process since the passing of the Immigration Act of 1891. Failing the medical examination can result in denial of the application. Over the years the medical examination has been expanded to include questioning about diseases that are scientifically shown to be rooted in an individual's genetic makeup. Recent advances in the fields of genomics and bioinformatics are making accurate and precise screening for these conditions a reality. Government policymakers will soon be faced with decisions regarding whether or not to sanction the use of these newly-developed genetic tests in the immigration application procedure. The terror threat currently facing the United States may ultimately bolster the argument in favor of genetic testing and/or DNA collection of applicants. However, the possibility of a government mandate requiring genetic testing raises a host of ethical issues; including the threat of eugenics and privacy concerns. Genetic testing has the ability to uncover a wealth of sensitive medical information about an individual and currently there are no medical information privacy protections afforded to immigration applicants. This article examines the potential for genetic testing in the immigration application process and the ethical issues surrounding this testing. In particular, this article explores the existing framework of privacy protections afforded to individuals living in the United States and how this and newly-erected standards like those released by the Health and Human Services (HHS) might apply to individuals seeking to immigrate to the United States.

Owning genetic information and gene enhancement techniques: why privacy and property rights may undermine social control of the human genome.

Science.gov (United States)

Moore, A D

2000-04-01

In this article I argue that the proper subjects of intangible property claims include medical records, genetic profiles, and gene enhancement techniques. Coupled with a right to privacy these intangible property rights allow individuals a zone of control that will, in most cases, justifiably exclude governmental or societal invasions into private domains. I argue that the threshold for overriding privacy rights and intangible property rights is higher, in relation to genetic enhancement techniques and sensitive personal information, than is commonly suggested. Once the bar is raised, so-to-speak, the burden of overriding it is formidable. Thus many policy decisions that have been recently proposed or enacted--citywide audio and video surveillance, law enforcement DNA sweeps, genetic profiling, national bans on genetic testing and enhancement of humans, to name a few--will have to be backed by very strong arguments.

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.

Privacy protection and public goods: building a genetic database for health research in Newfoundland and Labrador.

Science.gov (United States)

Kosseim, Patricia; Pullman, Daryl; Perrot-Daley, Astrid; Hodgkinson, Kathy; Street, Catherine; Rahman, Proton

2013-01-01

To provide a legal and ethical analysis of some of the implementation challenges faced by the Population Therapeutics Research Group (PTRG) at Memorial University (Canada), in using genealogical information offered by individuals for its genetics research database. This paper describes the unique historical and genetic characteristics of the Newfoundland and Labrador founder population, which gave rise to the opportunity for PTRG to build the Newfoundland Genealogy Database containing digitized records of all pre-confederation (1949) census records of the Newfoundland founder population. In addition to building the database, PTRG has developed the Heritability Analytics Infrastructure, a data management structure that stores genotype, phenotype, and pedigree information in a single database, and custom linkage software (KINNECT) to perform pedigree linkages on the genealogy database. A newly adopted legal regimen in Newfoundland and Labrador is discussed. It incorporates health privacy legislation with a unique research ethics statute governing the composition and activities of research ethics boards and, for the first time in Canada, elevating the status of national research ethics guidelines into law. The discussion looks at this integration of legal and ethical principles which provides a flexible and seamless framework for balancing the privacy rights and welfare interests of individuals, families, and larger societies in the creation and use of research data infrastructures as public goods. The complementary legal and ethical frameworks that now coexist in Newfoundland and Labrador provide the legislative authority, ethical legitimacy, and practical flexibility needed to find a workable balance between privacy interests and public goods. Such an approach may also be instructive for other jurisdictions as they seek to construct and use biobanks and related research platforms for genetic research.

Redefining genomic privacy: trust and empowerment.

Directory of Open Access Journals (Sweden)

Yaniv Erlich

2014-11-01

Full Text Available Fulfilling the promise of the genetic revolution requires the analysis of large datasets containing information from thousands to millions of participants. However, sharing human genomic data requires protecting subjects from potential harm. Current models rely on de-identification techniques in which privacy versus data utility becomes a zero-sum game. Instead, we propose the use of trust-enabling techniques to create a solution in which researchers and participants both win. To do so we introduce three principles that facilitate trust in genetic research and outline one possible framework built upon those principles. Our hope is that such trust-centric frameworks provide a sustainable solution that reconciles genetic privacy with data sharing and facilitates genetic research.

Redefining genomic privacy: trust and empowerment.

Science.gov (United States)

Erlich, Yaniv; Williams, James B; Glazer, David; Yocum, Kenneth; Farahany, Nita; Olson, Maynard; Narayanan, Arvind; Stein, Lincoln D; Witkowski, Jan A; Kain, Robert C

2014-11-01

Fulfilling the promise of the genetic revolution requires the analysis of large datasets containing information from thousands to millions of participants. However, sharing human genomic data requires protecting subjects from potential harm. Current models rely on de-identification techniques in which privacy versus data utility becomes a zero-sum game. Instead, we propose the use of trust-enabling techniques to create a solution in which researchers and participants both win. To do so we introduce three principles that facilitate trust in genetic research and outline one possible framework built upon those principles. Our hope is that such trust-centric frameworks provide a sustainable solution that reconciles genetic privacy with data sharing and facilitates genetic research.

Privacy rules for DNA databanks. Protecting coded 'future diaries'.

Science.gov (United States)

Annas, G J

1993-11-17

In privacy terms, genetic information is like medical information. But the information contained in the DNA molecule itself is more sensitive because it contains an individual's probabilistic "future diary," is written in a code that has only partially been broken, and contains information about an individual's parents, siblings, and children. Current rules for protecting the privacy of medical information cannot protect either genetic information or identifiable DNA samples stored in DNA databanks. A review of the legal and public policy rationales for protecting genetic privacy suggests that specific enforceable privacy rules for DNA databanks are needed. Four preliminary rules are proposed to govern the creation of DNA databanks, the collection of DNA samples for storage, limits on the use of information derived from the samples, and continuing obligations to those whose DNA samples are in the databanks.

Privacy protection and public goods: building a genetic database for health research in Newfoundland and Labrador

Science.gov (United States)

Pullman, Daryl; Perrot-Daley, Astrid; Hodgkinson, Kathy; Street, Catherine; Rahman, Proton

2013-01-01

Objective To provide a legal and ethical analysis of some of the implementation challenges faced by the Population Therapeutics Research Group (PTRG) at Memorial University (Canada), in using genealogical information offered by individuals for its genetics research database. Materials and methods This paper describes the unique historical and genetic characteristics of the Newfoundland and Labrador founder population, which gave rise to the opportunity for PTRG to build the Newfoundland Genealogy Database containing digitized records of all pre-confederation (1949) census records of the Newfoundland founder population. In addition to building the database, PTRG has developed the Heritability Analytics Infrastructure, a data management structure that stores genotype, phenotype, and pedigree information in a single database, and custom linkage software (KINNECT) to perform pedigree linkages on the genealogy database. Discussion A newly adopted legal regimen in Newfoundland and Labrador is discussed. It incorporates health privacy legislation with a unique research ethics statute governing the composition and activities of research ethics boards and, for the first time in Canada, elevating the status of national research ethics guidelines into law. The discussion looks at this integration of legal and ethical principles which provides a flexible and seamless framework for balancing the privacy rights and welfare interests of individuals, families, and larger societies in the creation and use of research data infrastructures as public goods. Conclusion The complementary legal and ethical frameworks that now coexist in Newfoundland and Labrador provide the legislative authority, ethical legitimacy, and practical flexibility needed to find a workable balance between privacy interests and public goods. Such an approach may also be instructive for other jurisdictions as they seek to construct and use biobanks and related research platforms for genetic research. PMID

Preserving Employee Privacy in Wellness.

Science.gov (United States)

Terry, Paul E

2017-07-01

The proposed "Preserving Employee Wellness Programs Act" states that the collection of information about the manifested disease or disorder of a family member shall not be considered an unlawful acquisition of genetic information. The bill recognizes employee privacy protections that are already in place and includes specific language relating to nondiscrimination based on illness. Why did legislation expressly intending to "preserve wellness programs" generate such antipathy about wellness among journalists? This article argues that those who are committed to preserving employee wellness must be equally committed to preserving employee privacy. Related to this, we should better parse between discussions and rules about commonplace health screenings versus much less common genetic testing.

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.

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.

Mandatory Submission to The Identification of Genetic Profile for Criminal Purpose: A Broach Pursuant to the Right to Privacy and Dignity of the Human Person

Directory of Open Access Journals (Sweden)

George Maia Santos

2015-12-01

Full Text Available This article aims to demonstrate that the mandatory submission convicted of a crime committed, intentionally, with serious violence against person or heinous crime, to identify the genetic profile by DNA extraction - deoxyribonucleic acid, although by proper and painless technique is offensive to fundamental rights. For this purpose, it is part of the overall concept of the right to privacy, which is configured as a negative right or protection against unlawful state mismanagement, in order to protect a need or a basic right to the free individual self-determination. Then genetic intimacy is defined as an asset able to reveal the physical, psychological, behavioral and disease features, which, if disclosed or accessed without the consent of the accused, may generate stigmatization and discrimination of the subject involved, violating in this way, therefore, the right to privacy. In conclusion, we move towards emphasizing besides the right to privacy, compulsory provision of biological material to identify the genetic profile is offensive to fundamental rights to physical liberty or outpatient; physical integrity; to the freedom of religion or conscience; non-discrimination; the silence and non-production of evidences against himself, and in last instance, the biggest vector of all fundamental rights: the dignity of the human person.

Modifications to the HIPAA Privacy, Security, Enforcement, and Breach Notification rules under the Health Information Technology for Economic and Clinical Health Act and the Genetic Information Nondiscrimination Act; other modifications to the HIPAA rules.

Science.gov (United States)

2013-01-25

The Department of Health and Human Services (HHS or ``the Department'') is issuing this final rule to: Modify the Health Insurance Portability and Accountability Act (HIPAA) Privacy, Security, and Enforcement Rules to implement statutory amendments under the Health Information Technology for Economic and Clinical Health Act (``the HITECH Act'' or ``the Act'') to strengthen the privacy and security protection for individuals' health information; modify the rule for Breach Notification for Unsecured Protected Health Information (Breach Notification Rule) under the HITECH Act to address public comment received on the interim final rule; modify the HIPAA Privacy Rule to strengthen the privacy protections for genetic information by implementing section 105 of Title I of the Genetic Information Nondiscrimination Act of 2008 (GINA); and make certain other modifications to the HIPAA Privacy, Security, Breach Notification, and Enforcement Rules (the HIPAA Rules) to improve their workability and effectiveness and to increase flexibility for and decrease burden on the regulated entities.

Reconciling Utility with Privacy in Genomics

OpenAIRE

Humbert, Mathias; Ayday, Erman; Hubaux, Jean-Pierre; Telenti, Amalio

2014-01-01

Direct-to-consumer genetic testing makes it possible for everyone to learn their genome sequences. In order to contribute to medical research, a growing number of people publish their genomic data on the Web, sometimes under their real identities. However, this is at odds not only with their own privacy but also with the privacy of their relatives. The genomes of relatives being highly correlated, some family members might be opposed to revealing any of the family's genomic data. In this pape...

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.

PRESAGE: PRivacy-preserving gEnetic testing via SoftwAre Guard Extension.

Science.gov (United States)

Chen, Feng; Wang, Chenghong; Dai, Wenrui; Jiang, Xiaoqian; Mohammed, Noman; Al Aziz, Md Momin; Sadat, Md Nazmus; Sahinalp, Cenk; Lauter, Kristin; Wang, Shuang

2017-07-26

Advances in DNA sequencing technologies have prompted a wide range of genomic applications to improve healthcare and facilitate biomedical research. However, privacy and security concerns have emerged as a challenge for utilizing cloud computing to handle sensitive genomic data. We present one of the first implementations of Software Guard Extension (SGX) based securely outsourced genetic testing framework, which leverages multiple cryptographic protocols and minimal perfect hash scheme to enable efficient and secure data storage and computation outsourcing. We compared the performance of the proposed PRESAGE framework with the state-of-the-art homomorphic encryption scheme, as well as the plaintext implementation. The experimental results demonstrated significant performance over the homomorphic encryption methods and a small computational overhead in comparison to plaintext implementation. The proposed PRESAGE provides an alternative solution for secure and efficient genomic data outsourcing in an untrusted cloud by using a hybrid framework that combines secure hardware and multiple crypto protocols.

Privacy preserving processing of genomic data: A survey.

Science.gov (United States)

Akgün, Mete; Bayrak, A Osman; Ozer, Bugra; Sağıroğlu, M Şamil

2015-08-01

Recently, the rapid advance in genome sequencing technology has led to production of huge amount of sensitive genomic data. However, a serious privacy challenge is confronted with increasing number of genetic tests as genomic data is the ultimate source of identity for humans. Lately, privacy threats and possible solutions regarding the undesired access to genomic data are discussed, however it is challenging to apply proposed solutions to real life problems due to the complex nature of security definitions. In this review, we have categorized pre-existing problems and corresponding solutions in more understandable and convenient way. Additionally, we have also included open privacy problems coming with each genomic data processing procedure. We believe our classification of genome associated privacy problems will pave the way for linking of real-life problems with previously proposed methods. Copyright © 2015 Elsevier Inc. All rights reserved.

77 FR 67348 - Privacy Act of 1974; System of Records-Alternative Dispute Resolution (ADR) Center Case Tracking...

Science.gov (United States)

2012-11-09

....S.C. 791 et seq.; the Equal Pay Act, 29 U.S.C. 206(d); the Genetic Information Nondiscrimination Act... DEPARTMENT OF EDUCATION Privacy Act of 1974; System of Records--Alternative Dispute Resolution... with the Privacy Act of 1974, as amended, 5 U.S.C. 552a (Privacy Act), the Department of Education...

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.

"Genetic exceptionalism" in medicine: clarifying the differences between genetic and nongenetic tests.

Science.gov (United States)

Green, Michael J; Botkin, Jeffrey R

2003-04-01

Predictive genetic tests are now available for assessing susceptibility to a variety of conditions, including breast and colon cancer, hemochromatosis, and Alzheimer and Huntington disease. Much controversy surrounds the application of these tests, stemming from their similarities to and differences from other tests commonly used in asymptomatic persons. Some have argued that genetic tests are unique and therefore justify special consideration with regard to informed consent and privacy. This paper examines the arguments for such "genetic exceptionalism" and concludes that no clear, significant distinctions between genetic and nongenetic tests justify a different approach to testing by clinicians. Nevertheless, with many genetic tests, the results may cause stigmatization, family discord, and psychological distress. Regardless of whether a test is genetic, when this combination of characteristics is present and when health care providers are not specifically trained to interpret results, testing should be performed with particular caution and the highest standards of informed consent and privacy protection should be applied.

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

Protecting and Evaluating Genomic Privacy in Medical Tests and Personalized Medicine

OpenAIRE

Ayday, Erman; Raisaro, Jean Louis; Rougemont, Jacques; Hubaux, Jean-Pierre

2013-01-01

In this paper, we propose privacy-enhancing technologies for medical tests and personalized medicine methods that use patients' genomic data. Focusing on genetic disease-susceptibility tests, we develop a new architecture (between the patient and the medical unit) and propose a "privacy-preserving disease susceptibility test" (PDS) by using homomorphic encryption and proxy re-encryption. Assuming the whole genome sequencing to be done by a certified institution, we propose to store patients' ...

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...

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...

The Privacy Coach: Supporting customer privacy in the Internet of Things

OpenAIRE

Broenink, Gerben; Hoepman, Jaap-Henk; Hof, Christian van 't; van Kranenburg, Rob; Smits, David; Wisman, Tijmen

2010-01-01

The Privacy Coach is an application running on a mobile phone that supports customers in making privacy decisions when confronted with RFID tags. The approach we take to increase customer privacy is a radical departure from the mainstream research efforts that focus on implementing privacy enhancing technologies on the RFID tags themselves. Instead the Privacy Coach functions as a mediator between customer privacy preferences and corporate privacy policies, trying to find a match between the ...

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'

SecureMA: protecting participant privacy in genetic association meta-analysis

OpenAIRE

Xie, Wei; Kantarcioglu, Murat; Bush, William S.; Crawford, Dana; Denny, Joshua C.; Heatherly, Raymond; Malin, Bradley A.

2014-01-01

Motivation: Sharing genomic data is crucial to support scientific investigation such as genome-wide association studies. However, recent investigations suggest the privacy of the individual participants in these studies can be compromised, leading to serious concerns and consequences, such as overly restricted access to data.

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 ...

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.

Public Opinion about the Importance of Privacy in Biobank Research

Science.gov (United States)

Kaufman, David J.; Murphy-Bollinger, Juli; Scott, Joan; Hudson, Kathy L.

2009-01-01

Concerns about privacy may deter people from participating in genetic research. Recruitment and retention of biobank participants requires understanding the nature and magnitude of these concerns. Potential participants in a proposed biobank were asked about their willingness to participate, their privacy concerns, informed consent, and data sharing. A representative survey of 4659 U.S. adults was conducted. Ninety percent of respondents would be concerned about privacy, 56% would be concerned about researchers having their information, and 37% would worry that study data could be used against them. However, 60% would participate in the biobank if asked. Nearly half (48%) would prefer to provide consent once for all research approved by an oversight panel, whereas 42% would prefer to provide consent for each project separately. Although 92% would allow academic researchers to use study data, 80% and 75%, respectively, would grant access to government and industry researchers. Concern about privacy was related to lower willingness to participate only when respondents were told that they would receive $50 for participation and would not receive individual research results back. Among respondents who were told that they would receive $200 or individual research results, privacy concerns were not related to willingness. Survey respondents valued both privacy and participation in biomedical research. Despite pervasive privacy concerns, 60% would participate in a biobank. Assuring research participants that their privacy will be protected to the best of researchers' abilities may increase participants' acceptance of consent for broad research uses of biobank data by a wide range of researchers. PMID:19878915

Privacy in Pharmacogenetics: An End-to-End Case Study of Personalized Warfarin Dosing.

Science.gov (United States)

Fredrikson, Matthew; Lantz, Eric; Jha, Somesh; Lin, Simon; Page, David; Ristenpart, Thomas

2014-08-01

We initiate the study of privacy in pharmacogenetics, wherein machine learning models are used to guide medical treatments based on a patient's genotype and background. Performing an in-depth case study on privacy in personalized warfarin dosing, we show that suggested models carry privacy risks, in particular because attackers can perform what we call model inversion : an attacker, given the model and some demographic information about a patient, can predict the patient's genetic markers. As differential privacy (DP) is an oft-proposed solution for medical settings such as this, we evaluate its effectiveness for building private versions of pharmacogenetic models. We show that DP mechanisms prevent our model inversion attacks when the privacy budget is carefully selected . We go on to analyze the impact on utility by performing simulated clinical trials with DP dosing models. We find that for privacy budgets effective at preventing attacks, patients would be exposed to increased risk of stroke, bleeding events, and mortality . We conclude that current DP mechanisms do not simultaneously improve genomic privacy while retaining desirable clinical efficacy, highlighting the need for new mechanisms that should be evaluated in situ using the general methodology introduced by our work.

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,

Privacy enhancing techniques - the key to secure communication and management of clinical and genomic data.

Science.gov (United States)

De Moor, G J E; Claerhout, B; De Meyer, F

2003-01-01

To introduce some of the privacy protection problems related to genomics based medicine and to highlight the relevance of Trusted Third Parties (TTPs) and of Privacy Enhancing Techniques (PETs) in the restricted context of clinical research and statistics. Practical approaches based on two different pseudonymisation models, both for batch and interactive data collection and exchange, are described and analysed. The growing need of managing both clinical and genetic data raises important legal and ethical challenges. Protecting human rights in the realm of privacy, while optimising research potential and other statistical activities is a challenge that can easily be overcome with the assistance of a trust service provider offering advanced privacy enabling/enhancing solutions. As such, the use of pseudonymisation and other innovative Privacy Enhancing Techniques can unlock valuable data sources.

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

Forensic DNA phenotyping: Developing a model privacy impact assessment.

Science.gov (United States)

Scudder, Nathan; McNevin, Dennis; Kelty, Sally F; Walsh, Simon J; Robertson, James

2018-05-01

Forensic scientists around the world are adopting new technology platforms capable of efficiently analysing a larger proportion of the human genome. Undertaking this analysis could provide significant operational benefits, particularly in giving investigators more information about the donor of genetic material, a particularly useful investigative lead. Such information could include predicting externally visible characteristics such as eye and hair colour, as well as biogeographical ancestry. This article looks at the adoption of this new technology from a privacy perspective, using this to inform and critique the application of a Privacy Impact Assessment to this emerging technology. Noting the benefits and limitations, the article develops a number of themes that would influence a model Privacy Impact Assessment as a contextual framework for forensic laboratories and law enforcement agencies considering implementing forensic DNA phenotyping for operational use. Copyright © 2018 Elsevier B.V. All rights reserved.

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...

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.

The privacy coach: Supporting customer privacy in the internet of things

NARCIS (Netherlands)

Broenink, E.G.; Hoepman, J.H.; Hof, C. van 't; Kranenburg, R. van; Smits, D.; Wisman, T.

2010-01-01

The Privacy Coach is an application running on a mobile phone that supports customers in making privacy decisions when confronted with RFID tags. The approach we take to increase customer privacy is a radical departure from the mainstream research efforts that focus on implementing privacy enhancing

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...

Redefining Genomic Privacy: Trust and Empowerment

OpenAIRE

Erlich, Yaniv; Williams, James B.; Glazer, David; Yocum, Kenneth; Farahany, Nita; Olson, Maynard; Narayanan, Arvind; Stein, Lincoln D.; Witkowski, Jan A.; Kain, Robert C.

2014-01-01

Fulfilling the promise of the genetic revolution requires the analysis of large datasets containing information from thousands to millions of participants. However, sharing human genomic data requires protecting subjects from potential harm. Current models rely on de-identification techniques in which privacy versus data utility becomes a zero-sum game. Instead, we propose the use of trust-enabling techniques to create a solution in which researchers and participants both win. To do so we int...

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...

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

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...

Genetic Issues in Mental Retardation, 1996-1997.

Science.gov (United States)

Genetic Issues in Mental Retardation, 1996

1996-01-01

This document consists of the first six issues of a newsletter, which discusses current knowledge about and concerns related to genetics and mental retardation. The second issue addresses the problem of genetic discrimination. The third issue considers genetic testing, screening, and counseling. The fourth issue addresses genetic privacy issues.…

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...

What Is Direct-to-Consumer Genetic Testing?

Science.gov (United States)

... consumer genetic testing. Additional information about direct-to-consumer marketing of genetic tests and related research questions are ... for Links Data Files & API Site Map Subscribe Customer Support USA.gov Copyright Privacy Accessibility FOIA Viewers & ...

Evaluating human genetic diversity

National Research Council Canada - National Science Library

... into human evolution and origins and serving as a springboard for important medical research. It also addresses issues of confidentiality and individual privacy for participants in genetic diversity research studies.

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...

Biohistorical materials and contemporary privacy concerns-the forensic case of King Albert I.

Science.gov (United States)

Larmuseau, Maarten H D; Bekaert, Bram; Baumers, Maarten; Wenseleers, Tom; Deforce, Dieter; Borry, Pascal; Decorte, Ronny

2016-09-01

The rapid advancement of technology in genomic analysis increasingly allows researchers to study human biohistorical materials. Nevertheless, little attention has been paid to the privacy of the donor's living relatives and the negative impact they might experience from the (public) availability of genetic results, even in cases of scientific, forensic or historical relevance. This issue has become clear during a cold case investigation of a relic attributed to Belgian King and World War I-hero Albert I who died, according to the official version, in a solo climbing accident in 1934. Authentication of the relic with blood stains assigned to the King and collected on the place where his body was discovered is recognised as one of the final opportunities to test the plausibility of various conspiracy theories on the King's demise. While the historical value and current technological developments allow the genomic analysis of this relic, publication of genetic data would immediately lead to privacy concerns for living descendants and relatives of the King, including the Belgian and British royal families, even after more than 80 years. Therefore, the authentication study of the relic of King Albert I has been a difficult exercise towards balancing public research interests and privacy interests. The identification of the relic was realised by using a strict genetic genealogical approach including Y-chromosome and mitochondrial genome comparison with living relatives, thereby limiting the analysis to genomic regions relevant for identification. The genetic results combined with all available historical elements concerning the relic, provide strong evidence that King Albert I was indeed the donor of the blood stains, which is in line with the official climbing accident hypothesis and contradicts widespread 'mise-en-scène' scenarios. Since publication of the haploid data of the blood stains has the potential to violate the privacy of living relatives, we opted for

Are privacy-enhancing technologies for genomic data ready for the clinic? A survey of medical experts of the Swiss HIV Cohort Study.

Science.gov (United States)

Raisaro, Jean-Louis; McLaren, Paul J; Fellay, Jacques; Cavassini, Matthias; Klersy, Catherine; Hubaux, Jean-Pierre

2018-03-01

Protecting patient privacy is a major obstacle for the implementation of genomic-based medicine. Emerging privacy-enhancing technologies can become key enablers for managing sensitive genetic data. We studied physicians' attitude toward this kind of technology in order to derive insights that might foster their future adoption for clinical care. We conducted a questionnaire-based survey among 55 physicians of the Swiss HIV Cohort Study who tested the first implementation of a privacy-preserving model for delivering genomic test results. We evaluated their feedback on three different aspects of our model: clinical utility, ability to address privacy concerns and system usability. 38/55 (69%) physicians participated in the study. Two thirds of them acknowledged genetic privacy as a key aspect that needs to be protected to help building patient trust and deploy new-generation medical information systems. All of them successfully used the tool for evaluating their patients' pharmacogenomics risk and 90% were happy with the user experience and the efficiency of the tool. Only 8% of physicians were unsatisfied with the level of information and wanted to have access to the patient's actual DNA sequence. This survey, although limited in size, represents the first evaluation of privacy-preserving models for genomic-based medicine. It has allowed us to derive unique insights that will improve the design of these new systems in the future. In particular, we have observed that a clinical information system that uses homomorphic encryption to provide clinicians with risk information based on sensitive genetic test results can offer information that clinicians feel sufficient for their needs and appropriately respectful of patients' privacy. The ability of this kind of systems to ensure strong security and privacy guarantees and to provide some analytics on encrypted data has been assessed as a key enabler for the management of sensitive medical information in the near future

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...

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.

A Model for Calculated Privacy and Trust in pHealth Ecosystems.

Science.gov (United States)

Ruotsalainen, Pekka; Blobel, Bernd

2018-01-01

A pHealth ecosystem is a community of service users and providers. It is also a dynamic socio-technical system. One of its main goals is to help users to maintain their personal health status. Another goal is to give economic benefit to stakeholders which use personal health information existing in the ecosystem. In pHealth ecosystems, a huge amount of health related data is collected and used by service providers such as data extracted from the regulated health record and information related to personal characteristics, genetics, lifestyle and environment. In pHealth ecosystems, there are different kinds of service providers such as regulated health care service providers, unregulated health service providers, ICT service providers, researchers and industrial organizations. This fact together with the multidimensional personal health data used raises serious privacy concerns. Privacy is a necessary enabler for successful pHealth, but it is also an elastic concept without any universally agreed definition. Regardless of what kind of privacy model is used in dynamic socio-technical systems, it is difficult for a service user to know the privacy level of services in real life situations. As privacy and trust are interrelated concepts, the authors have developed a hybrid solution where knowledge got from regulatory privacy requirements and publicly available privacy related documents is used for calculation of service providers' specific initial privacy value. This value is then used as an estimate for the initial trust score. In this solution, total trust score is a combination of recommended trust, proposed trust and initial trust. Initial privacy level is a weighted arithmetic mean of knowledge and user selected weights. The total trust score for any service provider in the ecosystem can be calculated deploying either a beta trust model or the Fuzzy trust calculation method. The prosed solution is easy to use and to understand, and it can be also automated. It is

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....

Genetics Home Reference: sialuria

Science.gov (United States)

... inheritance of sialuria, an inborn error of feedback inhibition. Am J Hum Genet. 2001 Jun;68(6): ... Links Data Files & API Site Map Subscribe Customer Support USA.gov Copyright Privacy Accessibility FOIA Viewers & Players ...

Regulation of Genetic Tests

Science.gov (United States)

... for Genomics Research Intellectual Property Issues in Genetics Archive Online Bioethics Resources Privacy in Genomics Regulation of ... are not regulated, meaning that they go to market without any independent analysis to verify the claims ...

A Framework for Privacy-preserving Classification of Next-generation PHR data.

Science.gov (United States)

Koufi, Vassiliki; Malamateniou, Flora; Prentza, Andriana; Vassilacopoulos, George

2014-01-01

Personal Health Records (PHRs), integrated with data from various sources, such as social care data, Electronic Health Record data and genetic information, are envisaged as having a pivotal role in transforming healthcare. These data, lumped under the term 'big data', are usually complex, noisy, heterogeneous, longitudinal and voluminous thus prohibiting their meaningful use by clinicians. Deriving value from these data requires the utilization of innovative data analysis techniques, which, however, may be hindered due to potential security and privacy breaches that may arise from improper release of personal health information. This paper presents a HIPAA-compliant machine learning framework that enables privacy-preserving classification of next-generation PHR data. The predictive models acquired can act as supporting tools to clinical practice by enabling more effective prevention, diagnosis and treatment of new incidents. The proposed framework has a huge potential for complementing medical staff expertise as it outperforms the manual inspection of PHR data while protecting patient privacy.

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.

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

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...

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.

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

The benefits, risks and costs of privacy: patient preferences and willingness to pay.

Science.gov (United States)

Trachtenbarg, David E; Asche, Carl; Ramsahai, Shweta; Duling, Joy; Ren, Jinma

2017-05-01

Multiple surveys show that patients want medical privacy; however, there are costs to maintaining privacy. There are also risks if information is not shared. A review of previous surveys found that most surveys asked questions about patient's privacy concerns and willingness to share their medical information. We found only one study that asked about sharing medical information for better care and no survey that asked patients about the risk, cost or comparison between medical privacy and privacy in other areas. To fill this gap, we designed a survey to: (1) compare medical privacy preferences to privacy preferences in other areas; (2) measure willingness to pay the cost of additional privacy measures; and (3) measure willingness to accept the risks of not sharing information. A total of 834 patients attending physician offices at 14 sites completed all or part of an anonymous questionnaire. Over 95% of patients were willing to share all their medical information with their treating physicians. There was no difference in willingness to share between primary care and specialty sites including psychiatry and an HIV clinic. In our survey, there was no difference in sharing preference between standard medical information and information with additional legal protections including genetic testing, drug/alcohol treatment and HIV results. Medical privacy was ranked lower than sharing social security and credit card numbers, but was deemed more private than other information including tax returns and handgun purchases. There was no statistical difference for any questions by site except for HIV/AIDS clinic patients ranking privacy of the medical record more important than reducing high medical costs and risk of medical errors (p risks to keep medical information hidden. Patients were very willing to share medical information with their providers. They were able to see the importance of sharing medical information to provide the best possible care. They were unwilling to

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 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

How Might the Genetics Profession Better Utilize Social Media.

Science.gov (United States)

Moore, Rebekah A; Matthews, Anne L; Cohen, Leslie

2018-04-01

Social media is a common method of communication in people's personal lives and professional settings. Gallagher et al. (2016) recommended, "it is time for genetic counselors to embrace social media as a means of communicating with patients or other healthcare professionals." Full members of the National Society of Genetic Counselors (NSGC) in the USA and Canada and genetics patients in Cleveland, OH, were surveyed to determine interest in using social media for patient-provider interactions. Both cohorts indicated that patient privacy and confidentiality would be a concern; however, survey results indicated patients would be interested in using social media to receive general information about genetic counseling and to learn about genetics services. Genetic counselors indicated privacy issues were not concerning if social media were to be used in this capacity. The majority of genetic counselor participants (88.7%) indicated they would welcome national guidelines for patient-provider social media use. Data from this study demonstrated that sharing what to expect at a genetic counseling appointment, defining genetic counseling, and announcing community outreach events are possible ways genetic counselors could utilize social media to communicate with and educate patients.

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.

Biomedical databases: protecting privacy and promoting research.

Science.gov (United States)

Wylie, Jean E; Mineau, Geraldine P

2003-03-01

When combined with medical information, large electronic databases of information that identify individuals provide superlative resources for genetic, epidemiology and other biomedical research. Such research resources increasingly need to balance the protection of privacy and confidentiality with the promotion of research. Models that do not allow the use of such individual-identifying information constrain research; models that involve commercial interests raise concerns about what type of access is acceptable. Researchers, individuals representing the public interest and those developing regulatory guidelines must be involved in an ongoing dialogue to identify practical models.

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.

The Double Helix: Applying an Ethic of Care to the Duty to Warn Genetic Relatives of Genetic Information.

Science.gov (United States)

Weaver, Meaghann

2016-03-01

Genetic testing reveals information about a patient's health status and predictions about the patient's future wellness, while also potentially disclosing health information relevant to other family members. With the increasing availability and affordability of genetic testing and the integration of genetics into mainstream medicine, the importance of clarifying the scope of confidentiality and the rules regarding disclosure of genetic findings to genetic relatives is prime. The United Nations International Declaration on Human Genetic Data urges an appreciation for principles of equality, justice, solidarity and responsibility in the context of genetic testing, including a commitment to honoring the privacy and security of the person tested. Considering this global mandate and recent professional statements in the context of a legal amendment to patient privacy policies in Australia, a fresh scrutiny of the legal history of a physician's duty to warn is warranted. This article inquiries whether there may be anything ethically or socially amiss with a potential future recommendation for health professionals or patients to universally disclose particular cancer predisposition genetic diagnosis to genetic family members. While much of the discussion remains applicable to all genetic diagnosis, the article focuses on the practice of disclosure within the context of BRCA1/2 diagnosis. An 'ethic of care' interpretation of legal tradition and current practice will serve to reconcile law and medical policy on the issue of physician disclosure of genetic results to family members without patient consent. © 2015 John Wiley & Sons Ltd.

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....

Anonymising the Sparse Dataset: A New Privacy Preservation Approach while Predicting Diseases

Directory of Open Access Journals (Sweden)

V. Shyamala Susan

2016-09-01

Full Text Available Data mining techniques analyze the medical dataset with the intention of enhancing patient’s health and privacy. Most of the existing techniques are properly suited for low dimensional medical dataset. The proposed methodology designs a model for the representation of sparse high dimensional medical dataset with the attitude of protecting the patient’s privacy from an adversary and additionally to predict the disease’s threat degree. In a sparse data set many non-zero values are randomly spread in the entire data space. Hence, the challenge is to cluster the correlated patient’s record to predict the risk degree of the disease earlier than they occur in patients and to keep privacy. The first phase converts the sparse dataset right into a band matrix through the Genetic algorithm along with Cuckoo Search (GCS.This groups the correlated patient’s record together and arranges them close to the diagonal. The next segment dissociates the patient’s disease, which is a sensitive value (SA with the parameters that determine the disease normally Quasi Identifier (QI.Finally, density based clustering technique is used over the underlying data to  create anonymized groups to maintain privacy and to predict the risk level of disease. Empirical assessments on actual health care data corresponding to V.A.Medical Centre heart disease dataset reveal the efficiency of this model pertaining to information loss, utility and privacy.

PRIVACY PRESERVING DATA MINING USING MULTIPLE OBJECTIVE OPTIMIZATION

Directory of Open Access Journals (Sweden)

V. Shyamala Susan

2016-10-01

Full Text Available Privacy preservation is that the most targeted issue in information publication, because the sensitive data shouldn't be leaked. For this sake, several privacy preservation data mining algorithms are proposed. In this work, feature selection using evolutionary algorithm and data masking coupled with slicing is treated as a multiple objective optimisation to preserve privacy. To start with, Genetic Algorithm (GA is carried out over the datasets to perceive the sensitive attributes and prioritise the attributes for treatment as per their determined sensitive level. In the next phase, to distort the data, noise is added to the higher level sensitive value using Hybrid Data Transformation (HDT method. In the following phase slicing algorithm groups the correlated attributes organized and by this means reduces the dimensionality by retaining the Advanced Clustering Algorithm (ACA. With the aim of getting the optimal dimensions of buckets, tuple segregating is accomplished by Metaheuristic Firefly Algorithm (MFA. The investigational consequences imply that the anticipated technique can reserve confidentiality and therefore the information utility is additionally high. Slicing algorithm allows the protection of association and usefulness in which effects in decreasing the information dimensionality and information loss. Performance analysis is created over OCC 7 and OCC 15 and our optimization method proves its effectiveness over two totally different datasets by showing 92.98% and 96.92% respectively.

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...

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...

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.

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...

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...

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....

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.

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

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...

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.

Advertising and Invasion of Privacy.

Science.gov (United States)

Rohrer, Daniel Morgan

The right of privacy as it relates to advertising and the use of a person's name or likeness is discussed in this paper. After an introduction that traces some of the history of invasion of privacy in court decisions, the paper examines cases involving issues such as public figures and newsworthy items, right of privacy waived, right of privacy…

Genetic Discrimination: A Legal Or Biological Issue?

OpenAIRE

Myssior, Bárbara Augusta de Paula Araujo; Silva, Luís Eduardo Gomes

2016-01-01

This essay debates the technological evolution that, from the decoding of the human genome has opened up many scientific benefits, and yet brings up a new kind of segregation: genetic discrimination. Based on the right to privacy, as well as the concept of genetic identity, as well as data protection and information, worked up the genetic discrimination. Therefore, documentary research and critical analysis of scientific papers were taken, using up of the inductive reasoning method. As a resu...

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

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...

Genomic research and data-mining technology: implications for personal privacy and informed consent.

Science.gov (United States)

Tavani, Herman T

2004-01-01

This essay examines issues involving personal privacy and informed consent that arise at the intersection of information and communication technology (ICT) and population genomics research. I begin by briefly examining the ethical, legal, and social implications (ELSI) program requirements that were established to guide researchers working on the Human Genome Project (HGP). Next I consider a case illustration involving deCODE Genetics, a privately owned genetic company in Iceland, which raises some ethical concerns that are not clearly addressed in the current ELSI guidelines. The deCODE case also illustrates some ways in which an ICT technique known as data mining has both aided and posed special challenges for researchers working in the field of population genomics. On the one hand, data-mining tools have greatly assisted researchers in mapping the human genome and in identifying certain "disease genes" common in specific populations (which, in turn, has accelerated the process of finding cures for diseases tha affect those populations). On the other hand, this technology has significantly threatened the privacy of research subjects participating in population genomics studies, who may, unwittingly, contribute to the construction of new groups (based on arbitrary and non-obvious patterns and statistical correlations) that put those subjects at risk for discrimination and stigmatization. In the final section of this paper I examine some ways in which the use of data mining in the context of population genomics research poses a critical challenge for the principle of informed consent, which traditionally has played a central role in protecting the privacy interests of research subjects participating in epidemiological studies.

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...

Genetic testing and its implications: human genetics researchers grapple with ethical issues.

Science.gov (United States)

Rabino, Isaac

2003-01-01

To better understand ethical issues involved in the field of human genetics and promote debate within the scientific community, the author surveyed scientists who engage in human genetics research about the pros, cons, and ethical implications of genetic testing. This study contributes systematic data on attitudes of scientific experts. The survey finds respondents are highly supportive of voluntary testing and the right to know one's genetic heritage. The majority consider in utero testing and consequent pregnancy termination acceptable for cases involving likelihood of serious disease but disapprove for genetic reasons they consider arbitrary, leaving a gray area of distinguishing between treatment of disorders and enhancement still to be resolved. While safeguarding patient confidentiality versus protecting at-risk third parties (kin, reproductive partners) presents a dilemma, preserving privacy from misuse by institutional third parties (employers, insurers) garners strong consensus for legislation against discrimination. Finally, a call is made for greater genetic literacy.

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...

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.

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

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

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...

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...

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...

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.

Incorporating Social Media into your Support Tool Box: Points to Consider from Genetics-Based Communities.

Science.gov (United States)

Rocha, Heather Mae; Savatt, Juliann M; Riggs, Erin Rooney; Wagner, Jennifer K; Faucett, W Andrew; Martin, Christa Lese

2018-04-01

Patients with newly-described or rare genetic findings are turning to social media to find and connect with others. Blogs, Facebook groups, and Twitter have all been reported as tools for patients to connect with one another. However, the preferences for social media use and privacy among patients, their families, and these communities have not been well characterized. To explore preferences about privacy and membership guidelines, an online survey was administered to two web-based patient registries, Simons Variation in Individuals Project ( www.simonsvipconnect.org ) and GenomeConnect ( www.genomeconnect.org ). Over a three-month period, invitations were sent to 2524 individuals and 103 responses (4%) were received and analyzed. Responses indicate that Facebook is the most popular resource accessed within this sample population (99%). Participants used social media to look for information about their diagnosis or test results (83%), read posts from rare disease groups or organizations (73%), participate in conversations about their diagnosis (67%), and connect with others to find support (58%). Focusing on privacy issues in social media, respondents indicate that membership and access impact the level of comfort in sharing personal or medical information. Nearly 60% of respondents felt uncomfortable sharing photos or medical information within a public Facebook group, whereas only 12% of respondents felt uncomfortable sharing in private group targeted to families alone. Using this preliminary data concerning social media use and privacy, we developed points for genetic counselors to incorporate when discussing available support resources for patients with a new, or rare, genetic diagnosis or genetic test result. Genetic counselors are trained to provide anticipatory guidance to families adapting to new genetic information, and are well-equipped to help patients consider their preferences about using social media as a source of information and support.

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 preserving protocol for detecting genetic relatives using rare variants.

Science.gov (United States)

Hormozdiari, Farhad; Joo, Jong Wha J; Wadia, Akshay; Guan, Feng; Ostrosky, Rafail; Sahai, Amit; Eskin, Eleazar

2014-06-15

High-throughput sequencing technologies have impacted many areas of genetic research. One such area is the identification of relatives from genetic data. The standard approach for the identification of genetic relatives collects the genomic data of all individuals and stores it in a database. Then, each pair of individuals is compared to detect the set of genetic relatives, and the matched individuals are informed. The main drawback of this approach is the requirement of sharing your genetic data with a trusted third party to perform the relatedness test. In this work, we propose a secure protocol to detect the genetic relatives from sequencing data while not exposing any information about their genomes. We assume that individuals have access to their genome sequences but do not want to share their genomes with anyone else. Unlike previous approaches, our approach uses both common and rare variants which provide the ability to detect much more distant relationships securely. We use a simulated data generated from the 1000 genomes data and illustrate that we can easily detect up to fifth degree cousins which was not possible using the existing methods. We also show in the 1000 genomes data with cryptic relationships that our method can detect these individuals. The software is freely available for download at http://genetics.cs.ucla.edu/crypto/. © The Author 2014. Published by Oxford University Press.

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

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...

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-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.

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.

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.

Fuzzy Privacy Decision for Context-Aware Access Personal Information

Institute of Scientific and Technical Information of China (English)

ZHANG Qingsheng; QI Yong; ZHAO Jizhong; HOU Di; NIU Yujie

2007-01-01

A context-aware privacy protection framework was designed for context-aware services and privacy control methods about access personal information in pervasive environment. In the process of user's privacy decision, it can produce fuzzy privacy decision as the change of personal information sensitivity and personal information receiver trust. The uncertain privacy decision model was proposed about personal information disclosure based on the change of personal information receiver trust and personal information sensitivity. A fuzzy privacy decision information system was designed according to this model. Personal privacy control policies can be extracted from this information system by using rough set theory. It also solves the problem about learning privacy control policies of personal information disclosure.

A Systematic Review on Confidentiality, Disclosure, and Stigma in the United States: Lessons for HIV Care in Pregnancy From Reproductive Genetics.

Science.gov (United States)

Wilkinson, Barbara; Arora, Kavita Shah

2015-01-01

The fields of HIV care in pregnancy and reproductive genetics have always been 'exceptional' in that patients are highly concerned about the potential for stigma and the corresponding need for privacy and confidentiality. However, the two fields have diverged in how they have addressed these concerns. The systematic review analyzed 61 manuscripts for similarities and differences between the fields of HIV care in pregnancy and reproductive genetics in the United States, with respect to privacy, confidentiality, disclosure, and stigma. The systematic review revealed that the field of HIV care in pregnancy has insufficiently addressed patient concerns about privacy, confidentiality, and stigma compared to the field of reproductive genetics. Failure to adequately protect confidentiality of HIV-positive patients, and failure to reduce stigma associated with HIV testing and treatment are deficiencies in the delivery of care to HIV-positive pregnant woman and barriers to reducing vertical transmission of HIV. Improvements in care and policy should mirror the field of reproductive genetics.

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 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.

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...

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...

ACOG Committee Opinion No. 409: Direct-to-consumer marketing of genetic testing.

Science.gov (United States)

2008-06-01

Marketing of genetic testing, although similar to direct-to-consumer advertising of prescription drugs, raises additional concerns and considerations. These include issues of limited knowledge among patients and health care providers of available genetic tests, difficulty in interpretation of genetic testing results, lack of federal oversight of companies offering genetic testing, and issues of privacy and confidentiality. Until all of these considerations are addressed, direct or home genetic testing should be discouraged because of the potential harm of a misinterpreted or inaccurate result.

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.

Clinical genomics, big data, and electronic medical records: reconciling patient rights with research when privacy and science collide.

Science.gov (United States)

Kulynych, Jennifer; Greely, Henry T

2017-04-01

Widespread use of medical records for research, without consent, attracts little scrutiny compared to biospecimen research, where concerns about genomic privacy prompted recent federal proposals to mandate consent. This paper explores an important consequence of the proliferation of electronic health records (EHRs) in this permissive atmosphere: with the advent of clinical gene sequencing, EHR-based secondary research poses genetic privacy risks akin to those of biospecimen research, yet regulators still permit researchers to call gene sequence data 'de-identified', removing such data from the protection of the federal Privacy Rule and federal human subjects regulations. Medical centers and other providers seeking to offer genomic 'personalized medicine' now confront the problem of governing the secondary use of clinical genomic data as privacy risks escalate. We argue that regulators should no longer permit HIPAA-covered entities to treat dense genomic data as de-identified health information. Even with this step, the Privacy Rule would still permit disclosure of clinical genomic data for research, without consent, under a data use agreement, so we also urge that providers give patients specific notice before disclosing clinical genomic data for research, permitting (where possible) some degree of choice and control. To aid providers who offer clinical gene sequencing, we suggest both general approaches and specific actions to reconcile patients' rights and interests with genomic research.

Clinical genomics, big data, and electronic medical records: reconciling patient rights with research when privacy and science collide

Science.gov (United States)

Greely, Henry T.

2017-01-01

Abstract Widespread use of medical records for research, without consent, attracts little scrutiny compared to biospecimen research, where concerns about genomic privacy prompted recent federal proposals to mandate consent. This paper explores an important consequence of the proliferation of electronic health records (EHRs) in this permissive atmosphere: with the advent of clinical gene sequencing, EHR-based secondary research poses genetic privacy risks akin to those of biospecimen research, yet regulators still permit researchers to call gene sequence data ‘de-identified’, removing such data from the protection of the federal Privacy Rule and federal human subjects regulations. Medical centers and other providers seeking to offer genomic ‘personalized medicine’ now confront the problem of governing the secondary use of clinical genomic data as privacy risks escalate. We argue that regulators should no longer permit HIPAA-covered entities to treat dense genomic data as de-identified health information. Even with this step, the Privacy Rule would still permit disclosure of clinical genomic data for research, without consent, under a data use agreement, so we also urge that providers give patients specific notice before disclosing clinical genomic data for research, permitting (where possible) some degree of choice and control. To aid providers who offer clinical gene sequencing, we suggest both general approaches and specific actions to reconcile patients’ rights and interests with genomic research. PMID:28852559

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…

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.

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.

Privacy and confidentiality measures in genetic testing and counselling: arguing on genetic exceptionalism again?

Science.gov (United States)

Witt, Magdalena M; Witt, Michał P

2016-11-01

Medical confidentiality in clinical genetics poses an important question about its scope, which would be in line with professional ethics and simple honesty. It is already known that the maintenance of absolute anonymity, bearing in mind the current progress of genetic techniques, is virtually impossible. On the other hand, our insight into the information contained in the human genome is increasing. This mini-review presents the authors' standpoint regarding this complex and difficult issue.

Community Genetics: a new discipline and its application in Brazil

Directory of Open Access Journals (Sweden)

Antonio Sérgio Ramalho

Full Text Available Community genetics is a new discipline which aims to provide genetic services to the community as a whole. As a science, community genetics encompasses all research needed to develop and evaluate its application. There is no question that the development of community genetics is necessary in Brazil. The implementation of such programs in our country, especially for hemoglobinopathies, has been recommended by the World Health Organization and other international organizations. Apart from the need for and appeal of community genetics programs, some aspects require serious review. This article discusses various cultural, social, psychological, and economic factors that can make genetic screening an invasion of individual privacy

Community Genetics: a new discipline and its application in Brazil

Directory of Open Access Journals (Sweden)

Ramalho Antonio Sérgio

2000-01-01

Full Text Available Community genetics is a new discipline which aims to provide genetic services to the community as a whole. As a science, community genetics encompasses all research needed to develop and evaluate its application. There is no question that the development of community genetics is necessary in Brazil. The implementation of such programs in our country, especially for hemoglobinopathies, has been recommended by the World Health Organization and other international organizations. Apart from the need for and appeal of community genetics programs, some aspects require serious review. This article discusses various cultural, social, psychological, and economic factors that can make genetic screening an invasion of individual privacy

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.

C-mixture and multi-constraints based genetic algorithm for collaborative data publishing

Directory of Open Access Journals (Sweden)

Yogesh R. Kulkarni

2018-04-01

Full Text Available Due to increasing need of using distributed databases, high demand presents on sharing data to easily update and access the useful information without any interruption. The sharing of distributed databases causes a serious issue of securing information since the databases consist of sensitive personal information. To preserve the sensitive information and at the same time, releasing the useful information, a significant effort is made by the researchers under privacy preserving data publishing that have been receiving considerable attention in recent years. In this work, a new privacy measure, called c-mixture is introduced to maintain the privacy constraint without affecting utility of the database. In order to apply the proposed privacy measure to privacy preserving data publishing, a new algorithm called, CPGEN is developed using genetic algorithm and multi-objective constraints. The proposed multi-objective optimization considered the multiple privacy constraints along with the utility measurement to measure the importance. Also, the proposed CPGEN is adapted to handle the cold-start problem which commonly happened in distributed databases. The proposed algorithm is experimented with adult dataset and quantitative performance is analyzed using generalized information loss and average equivalence class size metric. From the experimentation, we proved that the proposed algorithm maintained the privacy and utility as compared with the existing algorithm. Keywords: Privacy, Utility, Distributed databases, Data publishing, Optimization, Sensitive information

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…

Towards context adaptive privacy decisions in ubiquitous computing

NARCIS (Netherlands)

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

2012-01-01

In ubiquitous systems control of privacy settings will be increasingly difficult due to the pervasive nature of sensing and communication capabilities. We identify challenges for privacy decisions in ubiquitous systems and propose a system for in situ privacy decision support. When context changes

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.

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...

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...

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...

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...

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...

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...

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.

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...

Genetic Discrimination: A Legal Or Biological Issue?

Directory of Open Access Journals (Sweden)

Bárbara Augusta de Paula Araujo Myssior

2016-12-01

Full Text Available This essay debates the technological evolution that, from the decoding of the human genome has opened up many scientific benefits, and yet brings up a new kind of segregation: genetic discrimination. Based on the right to privacy, as well as the concept of genetic identity, as well as data protection and information, worked up the genetic discrimination. Therefore, documentary research and critical analysis of scientific papers were taken, using up of the inductive reasoning method. As a result, elucidate how such discrimination affects individuals, it is possible to conclude that regardless of the type of discrimination, all should be restrained by law.

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...

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.

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.

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.

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.

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...

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...

Psychiatric genetic testing: Attitudes and intentions among future users and providers

DEFF Research Database (Denmark)

Laegsgaard, Mett Marri; Mors, Ole

2008-01-01

as a guide in this field, but the optimal utilization of genetic testing has also been recognized to depend on knowledge of the potential consumers' attitudes. To provide knowledge to inform the public debate on mental illness and genetics, and the future conducting of psychiatric genetic testing....... Psychiatric and somatic genetic testing attracted the same amounts of accept. General attitudes toward access to psychiatric genetic testing and information revealed substantial support for bioethical principles of autonomy and privacy. However, questions describing more specific situations revealed......Psychiatric genetic research may eventually render possible psychiatric genetic testing. Whereas all genetic knowledge has certain characteristics raising ethical, legal, and social issues, psychiatric genetic knowledge adds more controversial issues. Ethical principles have been proposed...

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...

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...

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.

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.

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…

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

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...

Fundamental right to freedom of genetic research and the protection of personal data: the principles of prevention and precaution to guarantee the right to privacy

Directory of Open Access Journals (Sweden)

Regina Linden Ruaro

2015-09-01

Full Text Available This article reviews fundamental rights of freedom of research and protection of personal data in the field of human genetics, it proposes the application of the precautionary principle of prevention. Evaluates the Brazilian legislation on the subject matter of research as to guarantee privacy measure of personal data and information collected in scientific research, a situation that worsens in the middle in digital and virtual world because it is a space virtually rapid development. Focuses on the limitation of fundamental rights, based on the conception that are not absolute. It proposes the principles of precaution and prevention among virtual environment. The deductive and dialectical methods are adopted, having premised most fundamental rights related and under Brazilian law; the dialectical method was used because the issue is the subject of constant debate is necessary confrontation of doctrinal currents and the Brazilian legislation.

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

Mapping public policy on genetics.

Science.gov (United States)

Weisfeld, N E

2002-06-01

The mapping of the human genome and related advances in genetics are stimulating the development of public policies on genetics. Certain notions that currently prevail in public policy development overall--including the importance of protecting privacy of information, an interest in cost-effectiveness, and the power of the anecdote--will help determine the future of public policy on genetics. Information areas affected include discrimination by insurers and employers, confidentiality, genetic databanks, genetic testing in law enforcement, and court-ordered genetic testing in civil cases. Service issues address clinical standards, insurance benefits, allocation of resources, and screening of populations at risk. Supply issues encompass funding of research and clinical positions. Likely government actions include, among others: (1) Requiring individual consent for the disclosure of personal information, except when such consent would impose inordinate costs; (2) licensing genetic databases; (3) allowing courts to use personal information in cases where a refusal to use such information would offend the public; (4) mandating health insurers to pay for cost-effective genetic services; (5) funding pharmaceutical research to develop tailored products to prevent or treat diseases; and (6) funding training programs.

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.

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 ...

Legal constraints on genetic data processing in European grids

NARCIS (Netherlands)

Mouw, Evert; van't Noordende, Guido; van Kampen, Antoine H. C.; Louter, Baas; Santcroos, Mark; Olabarriaga, Silvia D.

2012-01-01

European laws on privacy and data security are not explicit about the storage and processing of genetic data. Especially whole-genome data is identifying and contains a lot of personal information. Is processing of such data allowed in computing grids? To find out, we looked at legal precedents in

Personalized medicine and access to genetic technologies.

Science.gov (United States)

den Exter, André

2010-01-01

Personalized medicine started after the Human Genome Project and is a relatively new concept that will dramatically change clinical practice. It offers clear clinical advantages by applying genetic diagnostic tests and then treating the patient with targeted medicines based on his or her genetic make-up. Its potential seems promising but there are quite a few legal concerns. One of these questions deals with the right to health care and access to genetic technologies. In this paper, the author explains the meaning of such a right to health care under international human rights law, its relevance for making genetic services eligible for public funding, how to cope with quality concerns of commercial testing, and finally, the patentability controversy and clinical access to genetic information. Apart from more traditional human rights concerns (consent, privacy, confidentiality) and genetics, States should be aware of the meaning of the equal access concept under international law and its consequences when introducing new technologies such genetic testing and services.

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,…

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.

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...

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.

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.

Direct-to-consumer genetic testing: perceptions, problems, and policy responses.

Science.gov (United States)

Caulfield, Timothy; McGuire, Amy L

2012-01-01

Direct-to-consumer (DTC) genetic testing has attracted a great amount of attention from policy makers, the scientific community, professional groups, and the media. Although it is unclear what the public demand is for these services, there does appear to be public interest in personal genetic risk information. As a result, many commentators have raised a variety of social, ethical, and regulatory issues associated with this emerging industry, including privacy issues, ensuring that DTC companies provide accurate information about the risks and limitations of their services, the possible adverse impact of DTC genetic testing on healthcare systems, and concern about how individuals may interpret and react to genetic risk information.

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'...

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.

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...

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,…

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.

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.

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.

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.

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....

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”.

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...

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.

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...

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…

The impact of the privacy rule on cancer research: variations in attitudes and application of regulatory standards.

Science.gov (United States)

Goss, Elizabeth; Link, Michael P; Bruinooge, Suanna S; Lawrence, Theodore S; Tepper, Joel E; Runowicz, Carolyn D; Schilsky, Richard L

2009-08-20

The American Society of Clinical Oncology (ASCO) Cancer Research Committee designed a qualitative research project to assess the attitudes of cancer researchers and compliance officials regarding compliance with the US Privacy Rule and to identify potential strategies for eliminating perceived or real barriers to achieving compliance. A team of three interviewers asked 27 individuals (13 investigators and 14 compliance officials) from 13 institutions to describe the anticipated approach of their institutions to Privacy Rule compliance in three hypothetical research studies. The interviews revealed that although researchers and compliance officials share the view that patients' cancer diagnoses should enjoy a high level of privacy protection, there are significant tensions between the two groups related to the proper standards for compliance necessary to protect patients. The disagreements are seen most clearly with regard to the appropriate definition of a "future research use" of protected health information in biospecimen and data repositories and the standards for a waiver of authorization for disclosure and use of such data. ASCO believes that disagreements related to compliance and the resulting delays in certain projects and abandonment of others might be eased by additional institutional training programs and consultation on Privacy Rule issues during study design. ASCO also proposes the development of best practices documents to guide 1) creation of data repositories, 2) disclosure and use of data from such repositories, and 3) the design of survivorship and genetics studies.

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.

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.

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

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…

Trust information-based privacy architecture for ubiquitous health.

Science.gov (United States)

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

2013-10-08

Ubiquitous health is defined as a dynamic network of interconnected systems that offers health services independent of time and location to a data subject (DS). The network takes place in open and unsecure information space. It is created and managed by the DS who sets rules that regulate the way personal health information is collected and used. Compared to health care, it is impossible in ubiquitous health to assume the existence of a priori trust between the DS and service providers and to produce privacy using static security services. In ubiquitous health features, business goals and regulations systems followed often remain unknown. Furthermore, health care-specific regulations do not rule the ways health data is processed and shared. To be successful, ubiquitous health requires novel privacy architecture. The goal of this study was to develop a privacy management architecture that helps the DS to create and dynamically manage the network and to maintain information privacy. The architecture should enable the DS to dynamically define service and system-specific rules that regulate the way subject data is processed. The architecture should provide to the DS reliable trust information about systems and assist in the formulation of privacy policies. Furthermore, the architecture should give feedback upon how systems follow the policies of DS and offer protection against privacy and trust threats existing in ubiquitous environments. A sequential method that combines methodologies used in system theory, systems engineering, requirement analysis, and system design was used in the study. In the first phase, principles, trust and privacy models, and viewpoints were selected. Thereafter, functional requirements and services were developed on the basis of a careful analysis of existing research published in journals and conference proceedings. Based on principles, models, and requirements, architectural components and their interconnections were developed using system

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.

Science.gov (United States)

Leung, Janni; Smith, Annetta; Atherton, Iain; McLaughlin, Deirdre

2016-12-01

Patients have a right to privacy in a health care setting. This involves conversational discretion, security of medical records and physical privacy of remaining unnoticed or unidentified when using health care services other than by those who need to know or whom the patient wishes to know. However, the privacy of cancer patients who live in rural areas is more difficult to protect due to the characteristics of rural communities. The purpose of this article is to reflect on concerns relating to the lack of privacy experienced by cancer patients and health care professionals in the rural health care setting. In addition, this article suggests future research directions to provide much needed evidence for educating health care providers and guiding health care policies that can lead to better protection of privacy among cancer patients living in rural communities.

A secure data privacy preservation for on-demand

Directory of Open Access Journals (Sweden)

Dhasarathan Chandramohan

2017-04-01

Full Text Available This paper spotlights privacy and its obfuscation issues of intellectual, confidential information owned by insurance and finance sectors. Privacy risk in business era if authoritarians misuse secret information. Software interruptions in steeling digital data in the name of third party services. Liability in digital secrecy for the business continuity isolation, mishandling causing privacy breaching the vicinity and its preventive phenomenon is scrupulous in the cloud, where a huge amount of data is stored and maintained enormously. In this developing IT-world toward cloud, users privacy protection is becoming a big question , albeit cloud computing made changes in the computing field by increasing its effectiveness, efficiency and optimization of the service environment etc, cloud users data and their identity, reliability, maintainability and privacy may vary for different CPs (cloud providers. CP ensures that the user’s proprietary information is maintained more secretly with current technologies. More remarkable occurrence is even the cloud provider does not have suggestions regarding the information and the digital data stored and maintained globally anywhere in the cloud. The proposed system is one of the obligatory research issues in cloud computing. We came forward by proposing the Privacy Preserving Model to Prevent Digital Data Loss in the Cloud (PPM–DDLC. This proposal helps the CR (cloud requester/users to trust their proprietary information and data stored in the cloud.

Report from Dagstuhl Seminar 12331 Mobility Data Mining and Privacy

OpenAIRE

Clifton, Christopher W.; Kuijpers, Bart; Morik, Katharina; Saygin, Yucel

2012-01-01

This report documents the program and the outcomes of Dagstuhl Seminar 12331 “Mobility Data Mining and Privacy”. Mobility data mining aims to extract knowledge from movement behaviour of people, but this data also poses novel privacy risks. This seminar gathered a multidisciplinary team for a conversation on how to balance the value in mining mobility data with privacy issues. The seminar focused on four key issues: Privacy in vehicular data, in cellular data, context- dependent privacy, and ...

Privacy & Social Media in the Context of the Arab Gulf

OpenAIRE

Abokhodair, Norah; Vieweg, Sarah

2016-01-01

Theories of privacy and how it relates to the use of Information Communication Technology (ICT) have been a topic of research for decades. However, little attention has been paid to the perception of privacy from the perspective of technology users in the Middle East. In this paper, we delve into interpretations of privacy from the approach of Arab Gulf citizens. We consider how privacy is practiced and understood in technology-mediated environments among this population, paying particular at...

Privacy preserving interactive record linkage (PPIRL).

Science.gov (United States)

Kum, Hye-Chung; Krishnamurthy, Ashok; Machanavajjhala, Ashwin; Reiter, Michael K; Ahalt, Stanley

2014-01-01

Record linkage to integrate uncoordinated databases is critical in biomedical research using Big Data. Balancing privacy protection against the need for high quality record linkage requires a human-machine hybrid system to safely manage uncertainty in the ever changing streams of chaotic Big Data. In the computer science literature, private record linkage is the most published area. It investigates how to apply a known linkage function safely when linking two tables. However, in practice, the linkage function is rarely known. Thus, there are many data linkage centers whose main role is to be the trusted third party to determine the linkage function manually and link data for research via a master population list for a designated region. Recently, a more flexible computerized third-party linkage platform, Secure Decoupled Linkage (SDLink), has been proposed based on: (1) decoupling data via encryption, (2) obfuscation via chaffing (adding fake data) and universe manipulation; and (3) minimum information disclosure via recoding. We synthesize this literature to formalize a new framework for privacy preserving interactive record linkage (PPIRL) with tractable privacy and utility properties and then analyze the literature using this framework. Human-based third-party linkage centers for privacy preserving record linkage are the accepted norm internationally. We find that a computer-based third-party platform that can precisely control the information disclosed at the micro level and allow frequent human interaction during the linkage process, is an effective human-machine hybrid system that significantly improves on the linkage center model both in terms of privacy and utility.

Privacy context model for dynamic privacy adaptation in ubiquitous computing

NARCIS (Netherlands)

Schaub, Florian; Koenings, Bastian; Dietzel, Stefan; Weber, M.; Kargl, Frank

Ubiquitous computing is characterized by the merger of physical and virtual worlds as physical artifacts gain digital sensing, processing, and communication capabilities. Maintaining an appropriate level of privacy in the face of such complex and often highly dynamic systems is challenging. We argue

Acoustic assessment of speech privacy curtains in two nursing units

Science.gov (United States)

Pope, Diana S.; Miller-Klein, Erik T.

2016-01-01

Hospitals have complex soundscapes that create challenges to patient care. Extraneous noise and high reverberation rates impair speech intelligibility, which leads to raised voices. In an unintended spiral, the increasing noise may result in diminished speech privacy, as people speak loudly to be heard over the din. The products available to improve hospital soundscapes include construction materials that absorb sound (acoustic ceiling tiles, carpet, wall insulation) and reduce reverberation rates. Enhanced privacy curtains are now available and offer potential for a relatively simple way to improve speech privacy and speech intelligibility by absorbing sound at the hospital patient's bedside. Acoustic assessments were performed over 2 days on two nursing units with a similar design in the same hospital. One unit was built with the 1970s’ standard hospital construction and the other was newly refurbished (2013) with sound-absorbing features. In addition, we determined the effect of an enhanced privacy curtain versus standard privacy curtains using acoustic measures of speech privacy and speech intelligibility indexes. Privacy curtains provided auditory protection for the patients. In general, that protection was increased by the use of enhanced privacy curtains. On an average, the enhanced curtain improved sound absorption from 20% to 30%; however, there was considerable variability, depending on the configuration of the rooms tested. Enhanced privacy curtains provide measureable improvement to the acoustics of patient rooms but cannot overcome larger acoustic design issues. To shorten reverberation time, additional absorption, and compact and more fragmented nursing unit floor plate shapes should be considered. PMID:26780959

Acoustic assessment of speech privacy curtains in two nursing units.

Science.gov (United States)

Pope, Diana S; Miller-Klein, Erik T

2016-01-01

Hospitals have complex soundscapes that create challenges to patient care. Extraneous noise and high reverberation rates impair speech intelligibility, which leads to raised voices. In an unintended spiral, the increasing noise may result in diminished speech privacy, as people speak loudly to be heard over the din. The products available to improve hospital soundscapes include construction materials that absorb sound (acoustic ceiling tiles, carpet, wall insulation) and reduce reverberation rates. Enhanced privacy curtains are now available and offer potential for a relatively simple way to improve speech privacy and speech intelligibility by absorbing sound at the hospital patient's bedside. Acoustic assessments were performed over 2 days on two nursing units with a similar design in the same hospital. One unit was built with the 1970s' standard hospital construction and the other was newly refurbished (2013) with sound-absorbing features. In addition, we determined the effect of an enhanced privacy curtain versus standard privacy curtains using acoustic measures of speech privacy and speech intelligibility indexes. Privacy curtains provided auditory protection for the patients. In general, that protection was increased by the use of enhanced privacy curtains. On an average, the enhanced curtain improved sound absorption from 20% to 30%; however, there was considerable variability, depending on the configuration of the rooms tested. Enhanced privacy curtains provide measureable improvement to the acoustics of patient rooms but cannot overcome larger acoustic design issues. To shorten reverberation time, additional absorption, and compact and more fragmented nursing unit floor plate shapes should be considered.

Acoustic assessment of speech privacy curtains in two nursing units

Directory of Open Access Journals (Sweden)

Diana S Pope

2016-01-01

Full Text Available Hospitals have complex soundscapes that create challenges to patient care. Extraneous noise and high reverberation rates impair speech intelligibility, which leads to raised voices. In an unintended spiral, the increasing noise may result in diminished speech privacy, as people speak loudly to be heard over the din. The products available to improve hospital soundscapes include construction materials that absorb sound (acoustic ceiling tiles, carpet, wall insulation and reduce reverberation rates. Enhanced privacy curtains are now available and offer potential for a relatively simple way to improve speech privacy and speech intelligibility by absorbing sound at the hospital patient′s bedside. Acoustic assessments were performed over 2 days on two nursing units with a similar design in the same hospital. One unit was built with the 1970s′ standard hospital construction and the other was newly refurbished (2013 with sound-absorbing features. In addition, we determined the effect of an enhanced privacy curtain versus standard privacy curtains using acoustic measures of speech privacy and speech intelligibility indexes. Privacy curtains provided auditory protection for the patients. In general, that protection was increased by the use of enhanced privacy curtains. On an average, the enhanced curtain improved sound absorption from 20% to 30%; however, there was considerable variability, depending on the configuration of the rooms tested. Enhanced privacy curtains provide measureable improvement to the acoustics of patient rooms but cannot overcome larger acoustic design issues. To shorten reverberation time, additional absorption, and compact and more fragmented nursing unit floor plate shapes should be considered.

Privacy as human flourishing: could a shift towards virtue ethics strengthen privacy protection in the age of Big Data?

NARCIS (Netherlands)

van der Sloot, B.

2014-01-01

Privacy is commonly seen as an instrumental value in relation to negative freedom, human dignity and personal autonomy. Article 8 ECHR, protecting the right to privacy, was originally coined as a doctrine protecting the negative freedom of citizens in vertical relations, that is between citizen and

Privacy and Psychosomatic Stress: An Empirical Analysis.

Science.gov (United States)

Webb, Stephen D.

1978-01-01

Examines the supposition that insufficient privacy is stressful to the individual. Data were obtained from urban centers in New Zealand. Findings support the hypothesis that a percieved lack of privacy is associated with psychosomatic stress. The relationship is specified by measures of stress and sex of respondents. (Author)

46 CFR 14.105 - Disclosure and privacy.

Science.gov (United States)

2010-10-01

... 46 Shipping 1 2010-10-01 2010-10-01 false Disclosure and privacy. 14.105 Section 14.105 Shipping COAST GUARD, DEPARTMENT OF HOMELAND SECURITY MERCHANT MARINE OFFICERS AND SEAMEN SHIPMENT AND DISCHARGE OF MERCHANT MARINERS General § 14.105 Disclosure and privacy. The Coast Guard makes information...

Location Privacy with Randomness Consistency

Directory of Open Access Journals (Sweden)

Wu Hao

2016-10-01

Full Text Available Location-Based Social Network (LBSN applications that support geo-location-based posting and queries to provide location-relevant information to mobile users are increasingly popular, but pose a location-privacy risk to posts. We investigated existing LBSNs and location privacy mechanisms, and found a powerful potential attack that can accurately locate users with relatively few queries, even when location data is well secured and location noise is applied. Our technique defeats previously proposed solutions including fake-location detection and query rate limits.

Anonymous communication networks protecting privacy on the web

CERN Document Server

Peng, Kun

2014-01-01

In today's interactive network environment, where various types of organizations are eager to monitor and track Internet use, anonymity is one of the most powerful resources available to counterbalance the threat of unknown spectators and to ensure Internet privacy.Addressing the demand for authoritative information on anonymous Internet usage, Anonymous Communication Networks: Protecting Privacy on the Web examines anonymous communication networks as a solution to Internet privacy concerns. It explains how anonymous communication networks make it possible for participants to communicate with

77 FR 74851 - Privacy Act of 1974; System of Records

Science.gov (United States)

2012-12-18

... FEDERAL DEPOSIT INSURANCE CORPORATION Privacy Act of 1974; System of Records AGENCY: Federal Deposit Insurance Corporation. ACTION: Notice to Delete a System of Records. SUMMARY: In accordance with the requirements of the Privacy Act of 1974, as amended (Privacy Act), the Federal Deposit Insurance...

How socially aware are social media privacy controls?

OpenAIRE

Misra, Gaurav; Such Aparicio, Jose Miguel

2016-01-01

Social media sites are key mediators of online communication. Yet the privacy controls for these sites are not fully socially aware, even when privacy management is known to be fundamental to successful social relationships.

Selling health data: de-identification, privacy, and speech.

Science.gov (United States)

Kaplan, Bonnie

2015-07-01

Two court cases that involve selling prescription data for pharmaceutical marketing affect biomedical informatics, patient and clinician privacy, and regulation. Sorrell v. IMS Health Inc. et al. in the United States and R v. Department of Health, Ex Parte Source Informatics Ltd. in the United Kingdom concern privacy and health data protection, data de-identification and reidentification, drug detailing (marketing), commercial benefit from the required disclosure of personal information, clinician privacy and the duty of confidentiality, beneficial and unsavory uses of health data, regulating health technologies, and considering data as speech. Individuals should, at the very least, be aware of how data about them are collected and used. Taking account of how those data are used is needed so societal norms and law evolve ethically as new technologies affect health data privacy and protection.

(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

Are Data Sharing and Privacy Protection Mutually Exclusive?

Science.gov (United States)

Joly, Yann; Dyke, Stephanie O M; Knoppers, Bartha M; Pastinen, Tomi

2016-11-17

We review emerging strategies to protect the privacy of research participants in international epigenome research: open consent, genome donation, registered access, automated procedures, and privacy-enhancing technologies. Copyright © 2016 Elsevier Inc. All rights reserved.

Privacy and Ethics in Undergraduate GIS Curricula

Science.gov (United States)

Scull, Peter; Burnett, Adam; Dolfi, Emmalee; Goldfarb, Ali; Baum, Peter

2016-01-01

The development of location-aware technologies, such as smartphones, raises serious questions regarding locational privacy and the ethical use of geographic data. The degree to which these concepts are taught in undergraduate geographic information science (GISci) courses is unknown. A survey of GISci educators shows that issues of privacy and…

mSieve: Differential Behavioral Privacy in Time Series of Mobile Sensor Data.

Science.gov (United States)

Saleheen, Nazir; Chakraborty, Supriyo; Ali, Nasir; Mahbubur Rahman, Md; Hossain, Syed Monowar; Bari, Rummana; Buder, Eugene; Srivastava, Mani; Kumar, Santosh

2016-09-01

Differential privacy concepts have been successfully used to protect anonymity of individuals in population-scale analysis. Sharing of mobile sensor data, especially physiological data, raise different privacy challenges, that of protecting private behaviors that can be revealed from time series of sensor data. Existing privacy mechanisms rely on noise addition and data perturbation. But the accuracy requirement on inferences drawn from physiological data, together with well-established limits within which these data values occur, render traditional privacy mechanisms inapplicable. In this work, we define a new behavioral privacy metric based on differential privacy and propose a novel data substitution mechanism to protect behavioral privacy. We evaluate the efficacy of our scheme using 660 hours of ECG, respiration, and activity data collected from 43 participants and demonstrate that it is possible to retain meaningful utility, in terms of inference accuracy (90%), while simultaneously preserving the privacy of sensitive behaviors.

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 ...

45 CFR 164.520 - Notice of privacy practices for protected health information.

Science.gov (United States)

2010-10-01

... DATA STANDARDS AND RELATED REQUIREMENTS SECURITY AND PRIVACY Privacy of Individually Identifiable Health Information § 164.520 Notice of privacy practices for protected health information. (a) Standard... 45 Public Welfare 1 2010-10-01 2010-10-01 false Notice of privacy practices for protected health...

76 FR 11435 - Privacy Act of 1974; Computer Matching Program

Science.gov (United States)

2011-03-02

... Security Administration. SUMMARY: Pursuant to the Computer Matching and Privacy Protection Act of 1988, Public Law 100-503, the Computer Matching and Privacy Protections Amendments of 1990, Pub. L. 101-508... Interpreting the Provisions of Public Law 100-503, the Computer Matching and Privacy Protection Act of 1988...

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.

Revocable privacy: Principles, use cases, and technologies

NARCIS (Netherlands)

Lueks, W.; Everts, M.H.; Hoepman, J.H.

2016-01-01

Security and privacy often seem to be at odds with one another. In this paper, we revisit the design principle of revocable privacy which guides the creation of systems that offer anonymity for people who do not violate a predefined rule, but can still have consequences for people who do violate the

Anonymity versus privacy: selective information sharing in online cancer communities.

Science.gov (United States)

Frost, Jeana; Vermeulen, Ivar E; Beekers, Nienke

2014-05-14

Active sharing in online cancer communities benefits patients. However, many patients refrain from sharing health information online due to privacy concerns. Existing research on privacy emphasizes data security and confidentiality, largely focusing on electronic medical records. Patient preferences around information sharing in online communities remain poorly understood. Consistent with the privacy calculus perspective adopted from e-commerce research, we suggest that patients approach online information sharing instrumentally, weighing privacy costs against participation benefits when deciding whether to share certain information. Consequently, we argue that patients prefer sharing clinical information over daily life and identity information that potentially compromises anonymity. Furthermore, we explore whether patients' prior experiences, age, health, and gender affect perceived privacy costs and thus willingness to share information. The goal of the present study is to document patient preferences for sharing information within online health platforms. A total of 115 cancer patients reported sharing intentions for 15 different types of information, demographics, health status, prior privacy experiences, expected community utility, and privacy concerns. Factor analysis on the 15 information types revealed 3 factors coinciding with 3 proposed information categories: clinical, daily life, and identity information. A within-subject ANOVA showed a strong preference for sharing clinical information compared to daily life and identity information (F1,114=135.59, P=.001, η(2)=.93). Also, adverse online privacy experiences, age, and health status negatively affected information-sharing intentions. Female patients shared information less willingly. Respondents' information-sharing intentions depend on dispositional and situational factors. Patients share medical details more willingly than daily life or identity information. The results suggest the need to focus on

Property and privacy paradigms of "marketable spit": an ethical and legal counterpart to blood?

Science.gov (United States)

Vernillo, Anthony Thomas; Wolpe, Paul Root

2010-01-01

Major advances in the testing of oral fluid (e.g., saliva) may lead to the diagnosis and treatment of previously undiagnosed conditions and may enable dentists to manage oral disease more effectively. Such use of another body fluid, blood, is already well established. Blood is a complex tissue that has been extensively researched and is now used for a wide variety of diagnostic tests. It is also regarded as a form of property with ethical and legal dimensions. If saliva is to fulfill a similar role, it should perhaps be granted those same protections. This paper advances the concept that saliva should be considered a form of property, possibly within personal biological materials law. The emerging potential for the development of marketable products from oral fluids raises the issue of protecting the research participant's ethical and legal rights. In particular, violation of privacy and genetic discrimination may arise from the testing of salivary DNA. Respect for autonomy requires that the clinician inform a patient or research participant about his or her rights to property and privacy as these may pertain to oral fluid.

Patient Privacy in the Era of Big Data.

Science.gov (United States)

Kayaalp, Mehmet

2018-01-20

Privacy was defined as a fundamental human right in the Universal Declaration of Human Rights at the 1948 United Nations General Assembly. However, there is still no consensus on what constitutes privacy. In this review, we look at the evolution of privacy as a concept from the era of Hippocrates to the era of social media and big data. To appreciate the modern measures of patient privacy protection and correctly interpret the current regulatory framework in the United States, we need to analyze and understand the concepts of individually identifiable information, individually identifiable health information, protected health information, and de-identification. The Privacy Rule of the Health Insurance Portability and Accountability Act defines the regulatory framework and casts a balance between protective measures and access to health information for secondary (scientific) use. The rule defines the conditions when health information is protected by law and how protected health information can be de-identified for secondary use. With the advents of artificial intelligence and computational linguistics, computational text de-identification algorithms produce de-identified results nearly as well as those produced by human experts, but much faster, more consistently and basically for free. Modern clinical text de-identification systems now pave the road to big data and enable scientists to access de-identified clinical information while firmly protecting patient privacy. However, clinical text de-identification is not a perfect process. In order to maximize the protection of patient privacy and to free clinical and scientific information from the confines of electronic healthcare systems, all stakeholders, including patients, health institutions and institutional review boards, scientists and the scientific communities, as well as regulatory and law enforcement agencies must collaborate closely. On the one hand, public health laws and privacy regulations define rules

AN EMPIRICAL EXAMINATION OF THE PRIVACY BEHAVIOUR WITH REFERENCE SOCIAL NETWORKING SITES

OpenAIRE

Tanvi Gupta*1, Mamta Rani2 & Ravneet Singh Bhandari3

2018-01-01

Purpose – The purpose of this paper is to propose and examine a privacy behaviour model in the context of Social networking factors (Indian scenario). The effects of key elements of SNS factors on perceived values of privacy behaviour were empirically determined. Design/methodology/approach – SNS is conceptualized as a multi-dimensional construct including emotional privacy, social privacy, personal privacy, and value. The investigated socio demographic factors included, age, gender, ethn...

Entropy-Based Privacy against Profiling of User Mobility

Directory of Open Access Journals (Sweden)

Alicia Rodriguez-Carrion

2015-06-01

Full Text Available Location-based services (LBSs flood mobile phones nowadays, but their use poses an evident privacy risk. The locations accompanying the LBS queries can be exploited by the LBS provider to build the user profile of visited locations, which might disclose sensitive data, such as work or home locations. The classic concept of entropy is widely used to evaluate privacy in these scenarios, where the information is represented as a sequence of independent samples of categorized data. However, since the LBS queries might be sent very frequently, location profiles can be improved by adding temporal dependencies, thus becoming mobility profiles, where location samples are not independent anymore and might disclose the user’s mobility patterns. Since the time dimension is factored in, the classic entropy concept falls short of evaluating the real privacy level, which depends also on the time component. Therefore, we propose to extend the entropy-based privacy metric to the use of the entropy rate to evaluate mobility profiles. Then, two perturbative mechanisms are considered to preserve locations and mobility profiles under gradual utility constraints. We further use the proposed privacy metric and compare it to classic ones to evaluate both synthetic and real mobility profiles when the perturbative methods proposed are applied. The results prove the usefulness of the proposed metric for mobility profiles and the need for tailoring the perturbative methods to the features of mobility profiles in order to improve privacy without completely loosing utility.

75 FR 20346 - Privacy Act of 1974; System of Records

Science.gov (United States)

2010-04-19

... DEPARTMENT OF EDUCATION Privacy Act of 1974; System of Records AGENCY: Federal Student Aid, Department of Education. ACTION: Notice of an altered system of records. SUMMARY: In accordance with the Privacy Act of 1974, as amended (Privacy Act), 5 United States Code (U.S.C.) 552a, the Chief Operating...

77 FR 56676 - Privacy Act of 1974; System of Records

Science.gov (United States)

2012-09-13

... of records to account for the previous omission of an accounting of disclosure when records may be.... Accounting of disclosure records: The date, nature, and purpose of each disclosure of a Privacy Act covered..., including FOIA and Privacy Act requests, and to comply with FOIA and Privacy Act disclosure accounting and...

Information Privacy, the Right to Receive Information and (Mobile) ICTs

NARCIS (Netherlands)

Strikwerda, L.

2010-01-01

The first part of this paper is about the notion of (information) privacy and its grounding in law. It discusses the tension between the right to privacy and the right to receive information. The second part of this paper explores how (mobile) ICTs challenge and complicate privacy claims and satisfy

The Secret Life of Your Classmates: Understanding Communication Privacy Management

Science.gov (United States)

Nodulman, Jessica A.

2011-01-01

This article presents an activity that combines this popular website, Postsecret.com, with college students' love for the internet, and course content on privacy boundaries and theory, disclosure, communicative control, and privacy rule development. By taking part in this activity, students practice privacy disclosure and are able to examine their…

Privacy, technology, and norms: the case of Smart Meters.

Science.gov (United States)

Horne, Christine; Darras, Brice; Bean, Elyse; Srivastava, Anurag; Frickel, Scott

2015-05-01

Norms shift and emerge in response to technological innovation. One such innovation is Smart Meters - components of Smart Grid energy systems capable of minute-to-minute transmission of consumer electricity use information. We integrate theory from sociological research on social norms and privacy to examine how privacy threats affect the demand for and expectations of norms that emerge in response to new technologies, using Smart Meters as a test case. Results from three vignette experiments suggest that increased threats to privacy created by Smart Meters are likely to provoke strong demand for and expectations of norms opposing the technology and that the strength of these normative rules is at least partly conditional on the context. Privacy concerns vary little with actors' demographic characteristics. These findings contribute to theoretical understanding of norm emergence and have practical implications for implementing privacy protections that effectively address concerns of electricity users. Copyright © 2014 Elsevier Inc. All rights reserved.

Enhanced Internet Mobility and Privacy Using Public Cloud

Directory of Open Access Journals (Sweden)

Ping Zhang

2017-01-01

Full Text Available Internet mobile users are concerned more and more about their privacy nowadays as both researches and real world incidents show that leaking of communication and location privacy can lead to serious consequence, and many research works have been done to anonymize individual user from aggregated location data. However, just the communication itself between the mobile users and their peers or website could collect considerable privacy of the mobile users, such as location history, to other parties. In this paper, we investigated the potential privacy risk of mobile Internet users and proposed a scalable system built on top of public cloud services that can hide mobile user’s network location and traffic from communication peers. This system creates a dynamic distributed proxy network for each mobile user to minimize performance overhead and operation cost.

Privacy, Personhood, and Property in the Age of Genomics

Directory of Open Access Journals (Sweden)

Wendy Bonython

2015-07-01

Full Text Available Revolutions in genetic technology have heralded the age of population-scale genomic metadata. This article analyzes the tensions and gaps between traditional conceptions of personhood and international legal responses to a person’s right over disembodied data obtained from his/her body. The opportunities for breakthroughs in healthcare by interrogating population-scale genomic databases are accompanied by questions about privacy, property, dignity, and the nature of information regulation in a global economy. This article highlights instances where law and policy makers have grappled with these challenges, and foreshadows some emerging future challenges. It also highlights differences between jurisdictions, and calls for greater global participation in the development of a coherent framework, rather than continued reliance on a small number of stakeholders, to develop that framework.

MetaSeq: privacy preserving meta-analysis of sequencing-based association studies.

Science.gov (United States)

Singh, Angad Pal; Zafer, Samreen; Pe'er, Itsik

2013-01-01

Human genetics recently transitioned from GWAS to studies based on NGS data. For GWAS, small effects dictated large sample sizes, typically made possible through meta-analysis by exchanging summary statistics across consortia. NGS studies groupwise-test for association of multiple potentially-causal alleles along each gene. They are subject to similar power constraints and therefore likely to resort to meta-analysis as well. The problem arises when considering privacy of the genetic information during the data-exchange process. Many scoring schemes for NGS association rely on the frequency of each variant thus requiring the exchange of identity of the sequenced variant. As such variants are often rare, potentially revealing the identity of their carriers and jeopardizing privacy. We have thus developed MetaSeq, a protocol for meta-analysis of genome-wide sequencing data by multiple collaborating parties, scoring association for rare variants pooled per gene across all parties. We tackle the challenge of tallying frequency counts of rare, sequenced alleles, for metaanalysis of sequencing data without disclosing the allele identity and counts, thereby protecting sample identity. This apparent paradoxical exchange of information is achieved through cryptographic means. The key idea is that parties encrypt identity of genes and variants. When they transfer information about frequency counts in cases and controls, the exchanged data does not convey the identity of a mutation and therefore does not expose carrier identity. The exchange relies on a 3rd party, trusted to follow the protocol although not trusted to learn about the raw data. We show applicability of this method to publicly available exome-sequencing data from multiple studies, simulating phenotypic information for powerful meta-analysis. The MetaSeq software is publicly available as open source.

Information Privacy: The Attitudes and Behaviours of Internet Users

OpenAIRE

Jakovljević, Marija

2011-01-01

The rise of electronic commerce and the Internet have created new technologies and capabilities, which increase concern for privacy online. This study reports on the results of an investigation of Internet users attitudes towards concern for privacy online, online behaviours adopted under varying levels of concern for privacy (high, moderate and low) and the types of information Internet users are protective of. Methodological triangulation was used, whereby both quantitative and qualitative ...

Millennial dissonance: an analysis of the privacy generational gap

OpenAIRE

Sher, Matthew J.

2012-01-01

The young Millennial generation has adopted social media and internet technology to an unprecedented degree. But this generation’s extensive usage of online services leaves Millennials open to various privacy vulnerabilities that have emerged with the new technology. Older generations hold concern that Millennials are ignoring the value of privacy when disclosing their personal information in exchange for online connectivity. This paper investigates the generational privacy concern through di...

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.

Effective Privacy-Preserving Online Route Planning

DEFF Research Database (Denmark)

Vicente, Carmen Ruiz; Assent, Ira; Jensen, Christian S.

2011-01-01

An online Route Planning Service (RPS) computes a route from one location to another. Current RPSs such as Google Maps require the use of precise locations. However, some users may not want to disclose their source and destination locations due to privacy concerns. An approach that supplies fake...... privacy. The solution re-uses a standard online RPS rather than replicate this functionality, and it needs no trusted third party. The solution is able to compute the exact results without leaking of the exact locations to the RPS or un-trusted parties. In addition, we provide heuristics that reduce...... the number of times that the RPS needs to be queried, and we also describe how the accuracy and privacy requirements can be relaxed to achieve better performance. An empirical study offers insight into key properties of the approach....

Protecting Privacy in the Global South (Phase 2) | CRDI - Centre de ...

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

The absence of appropriate privacy protections can lead to grave problems. Privacy ... Developing countries are home to the greatest number of Internet and mobile users, but such privacy protection is scarce. ... Agent(e) responsable du CRDI.