subject:( Privacy)

Mississippi State University

1. Bott, Gregory J. A privacy calculus model for personal mobile devices.

Degree: PhD, Business, College of, 2017, Mississippi State University

URL: http://sun.library.msstate.edu/ETD-db/theses/available/etd-02212017-151043/ ;

► Personal mobile devices (PMDs) initiated a multi-dimensional paradigmatic shift in personal computing and personal information collection fueled by the indispensability of the Internet and… (more)

▼ Personal mobile devices (PMDs) initiated a multi-dimensional paradigmatic shift in personal computing and personal information collection fueled by the indispensability of the Internet and the increasing functionality of the devices. From 2005 to 2016, the perceived necessity of conducting transactions on the Internet moved from optional to indispensable. The context of these transactions changes from traditional desktop and laptop computers, to the inclusion of smartphones and tablets (PMDs). However, the traditional privacy calculus published by (Dinev and Hart 2006) was conceived before this technological and contextual change, and several core assumptions of that model must be re-examined and possibly adapted or changed to account for this shift. This paradigm shift impacts the decision process individuals use to disclose personal information using PMDs. By nature of their size, portability, and constant proximity to the user, PMDs collect, contain, and distribute unprecedented amounts of personal information. Even though the context within which people are sharing information has changed significantly, privacy calculus research applied to PMDs has not moved far from the seminal work by Dinev and Hart (2006). The traditional privacy calculus risk-benefit model is limited in the PMD context because users are unaware of how much personal information is being shared, how often it is shared, or to whom it is shared. Furthermore, the traditional model explains and predicts intent to disclose rather than actual disclosure. However, disclosure intentions are a poor predictor of actual information disclosure. Because of perceived indispensability of the information and the inability to assess potential risk, the deliberate comparison of risks to benefits prior to disclosurea core assumption of the traditional privacy calculusmay not be the most effective basis of a model to predict and explain disclosure. The present research develops a Personal Mobile Device Privacy Calculus model designed to predict and explain disclosure behavior within the specific context of actual disclosure of personal information using PMDs. Advisors/Committee Members: Dr. Merrill Warkentin (chair), Dr. Robert Crossler (committee member), Dr. Joel Collier (committee member), Dr. Robert Otondo (committee member), Dr. Lawrence Marett (committee member).

Subjects/Keywords: privacy; privacy calculus; Information privacy

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APA (6^th Edition):

Bott, G. J. (2017). A privacy calculus model for personal mobile devices. (Doctoral Dissertation). Mississippi State University. Retrieved from http://sun.library.msstate.edu/ETD-db/theses/available/etd-02212017-151043/ ;

Chicago Manual of Style (16^th Edition):

Bott, Gregory J. “A privacy calculus model for personal mobile devices.” 2017. Doctoral Dissertation, Mississippi State University. Accessed January 19, 2021. http://sun.library.msstate.edu/ETD-db/theses/available/etd-02212017-151043/ ;.

MLA Handbook (7^th Edition):

Bott, Gregory J. “A privacy calculus model for personal mobile devices.” 2017. Web. 19 Jan 2021.

Vancouver:

Bott GJ. A privacy calculus model for personal mobile devices. [Internet] [Doctoral dissertation]. Mississippi State University; 2017. [cited 2021 Jan 19]. Available from: http://sun.library.msstate.edu/ETD-db/theses/available/etd-02212017-151043/ ;.

Council of Science Editors:

Bott GJ. A privacy calculus model for personal mobile devices. [Doctoral Dissertation]. Mississippi State University; 2017. Available from: http://sun.library.msstate.edu/ETD-db/theses/available/etd-02212017-151043/ ;

Leiden University

2. Huskes, Tim. Influences on privacy protection behaviour of Japanese people.

Degree: 2018, Leiden University

URL: http://hdl.handle.net/1887/63788

► Privacy has become the subject of heated international debate in recent years. In particular the privacy of personal data has emerged in the centre of… (more)

Subjects/Keywords: information privacy; privacy protection; privacy-related behaviour; online privacy; privacy awareness

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APA (6^th Edition):

Huskes, T. (2018). Influences on privacy protection behaviour of Japanese people. (Masters Thesis). Leiden University. Retrieved from http://hdl.handle.net/1887/63788

Chicago Manual of Style (16^th Edition):

Huskes, Tim. “Influences on privacy protection behaviour of Japanese people.” 2018. Masters Thesis, Leiden University. Accessed January 19, 2021. http://hdl.handle.net/1887/63788.

MLA Handbook (7^th Edition):

Huskes, Tim. “Influences on privacy protection behaviour of Japanese people.” 2018. Web. 19 Jan 2021.

Vancouver:

Huskes T. Influences on privacy protection behaviour of Japanese people. [Internet] [Masters thesis]. Leiden University; 2018. [cited 2021 Jan 19]. Available from: http://hdl.handle.net/1887/63788.

Council of Science Editors:

Huskes T. Influences on privacy protection behaviour of Japanese people. [Masters Thesis]. Leiden University; 2018. Available from: http://hdl.handle.net/1887/63788

3. Högberg, Johan. The effect of effort, control and value frames on online users privacy decision.

Degree: Social and Psychological Studies, 2013, Karlstad UniversityKarlstad University

URL: http://urn.kb.se/resolve?urn=urn:nbn:se:kau:diva-30647

► A frame refers to a decision maker’s perception of a decision problem. Frames affect outcomes of decisions and are partially controlled by how decision… (more)

Subjects/Keywords: privacy; control; framing; online privacy; privacy decision

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APA (6^th Edition):

Högberg, J. (2013). The effect of effort, control and value frames on online users privacy decision. (Thesis). Karlstad UniversityKarlstad University. Retrieved from http://urn.kb.se/resolve?urn=urn:nbn:se:kau:diva-30647

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Chicago Manual of Style (16^th Edition):

Högberg, Johan. “The effect of effort, control and value frames on online users privacy decision.” 2013. Thesis, Karlstad UniversityKarlstad University. Accessed January 19, 2021. http://urn.kb.se/resolve?urn=urn:nbn:se:kau:diva-30647.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

MLA Handbook (7^th Edition):

Högberg, Johan. “The effect of effort, control and value frames on online users privacy decision.” 2013. Web. 19 Jan 2021.

Vancouver:

Högberg J. The effect of effort, control and value frames on online users privacy decision. [Internet] [Thesis]. Karlstad UniversityKarlstad University; 2013. [cited 2021 Jan 19]. Available from: http://urn.kb.se/resolve?urn=urn:nbn:se:kau:diva-30647.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Council of Science Editors:

Högberg J. The effect of effort, control and value frames on online users privacy decision. [Thesis]. Karlstad UniversityKarlstad University; 2013. Available from: http://urn.kb.se/resolve?urn=urn:nbn:se:kau:diva-30647

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Dalhousie University

4. Ali, Sohail. UML for Inclusion of Privacy in Software Modeling.

Degree: Master of Computer Science, Faculty of Computer Science, 2013, Dalhousie University

URL: http://hdl.handle.net/10222/21777

► Online commerce and service obtain much private data from users. Collection, storage, management, and use of private data are subject to various privacy laws, regulations,… (more)

Subjects/Keywords: UML privacy modeling; privacy services

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APA (6^th Edition):

Ali, S. (2013). UML for Inclusion of Privacy in Software Modeling. (Masters Thesis). Dalhousie University. Retrieved from http://hdl.handle.net/10222/21777

Chicago Manual of Style (16^th Edition):

Ali, Sohail. “UML for Inclusion of Privacy in Software Modeling.” 2013. Masters Thesis, Dalhousie University. Accessed January 19, 2021. http://hdl.handle.net/10222/21777.

MLA Handbook (7^th Edition):

Ali, Sohail. “UML for Inclusion of Privacy in Software Modeling.” 2013. Web. 19 Jan 2021.

Vancouver:

Ali S. UML for Inclusion of Privacy in Software Modeling. [Internet] [Masters thesis]. Dalhousie University; 2013. [cited 2021 Jan 19]. Available from: http://hdl.handle.net/10222/21777.

Council of Science Editors:

Ali S. UML for Inclusion of Privacy in Software Modeling. [Masters Thesis]. Dalhousie University; 2013. Available from: http://hdl.handle.net/10222/21777

University of Waikato

5. Karunaratne, K D Thilini Prathiba. The reasonable expectation of privacy .

Degree: 2020, University of Waikato

URL: http://hdl.handle.net/10289/13698

► It is increasingly recognised that privacy is an inherent human value, interest and a right that is worthy of legal protection. Privacy is no longer… (more)

▼ It is increasingly recognised that privacy is an inherent human value, interest and a right that is worthy of legal protection. Privacy is no longer simply about being let alone ‘in one’s home’, rather the concept of privacy has evolved in a broader sense and is recongised to be an entitlement of an individual even in public spaces. With increased surveillance by both state and non-state actors, privacy is more important than ever before. Various countries across the globe have declared privacy as a constitutional right that must be protected, and in countries where a constitutional right does not exist, the judiciary has stepped in to declare privacy as a right. Unfortunately, in New Zealand there is no general right to privacy. Rather, there are specific legal protections that safeguard certain aspects of an individual’s privacy. For example, certain offences created in the Crimes Act 1961 protects bodily privacy and informational privacy is protected under the Privacy Act 1993. The New Zealand judiciary has also taken firm stances by creating two privacy torts, namely, tort of publication of private facts and intrusion into seclusion. However, the question remains whether there is a general right to privacy in New Zealand outside of these privacy protections. This is precisely what this thesis seeks to answer by looking closer at the concept of reasonable expectation of privacy. The judiciary has repeatedly used this concept when addressing privacy breaches. The continued use of this concept is important. But why? Rather than just a mere test, the reasonable expectation of privacy has been attributed by the courts as an ‘entitlement’ of the individual. The courts have interpreted and applied the reasonable expectation of privacy in a range of case law such as privacy trots, search and surveillance, and other areas of the law including broadcasting matters. The courts have found that an individual’s reasonable expectation of privacy can be breached, and subsequent remedies are available. This thesis argues that the frequent and sustained use of reasonable expectation of privacy as an entitlement that deserves protection by the common law, is without a doubt sufficient to be an expression or an embodiment of a general right to privacy in New Zealand. Advisors/Committee Members: Dizon, Michael (advisor).

Subjects/Keywords: Privacy; Reasonable expectation of privacy

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APA · Chicago · MLA · Vancouver · CSE | Export to Zotero / EndNote / Reference Manager

APA (6^th Edition):

Karunaratne, K. D. T. P. (2020). The reasonable expectation of privacy . (Masters Thesis). University of Waikato. Retrieved from http://hdl.handle.net/10289/13698

Chicago Manual of Style (16^th Edition):

Karunaratne, K D Thilini Prathiba. “The reasonable expectation of privacy .” 2020. Masters Thesis, University of Waikato. Accessed January 19, 2021. http://hdl.handle.net/10289/13698.

MLA Handbook (7^th Edition):

Karunaratne, K D Thilini Prathiba. “The reasonable expectation of privacy .” 2020. Web. 19 Jan 2021.

Vancouver:

Karunaratne KDTP. The reasonable expectation of privacy . [Internet] [Masters thesis]. University of Waikato; 2020. [cited 2021 Jan 19]. Available from: http://hdl.handle.net/10289/13698.

Council of Science Editors:

Karunaratne KDTP. The reasonable expectation of privacy . [Masters Thesis]. University of Waikato; 2020. Available from: http://hdl.handle.net/10289/13698

McMaster University

6. Calero, Vanessa. A Framework for Measuring Privacy Risks of YouTube.

Degree: MSc, 2020, McMaster University

URL: http://hdl.handle.net/11375/25730

►

While privacy risks associated with known social networks such as Facebook and Instagram are well studied, there is a limited investigation of privacy risks of… (more)

Subjects/Keywords: privacy framework; YouTube privacy Framework

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APA (6^th Edition):

Calero, V. (2020). A Framework for Measuring Privacy Risks of YouTube. (Masters Thesis). McMaster University. Retrieved from http://hdl.handle.net/11375/25730

Chicago Manual of Style (16^th Edition):

Calero, Vanessa. “A Framework for Measuring Privacy Risks of YouTube.” 2020. Masters Thesis, McMaster University. Accessed January 19, 2021. http://hdl.handle.net/11375/25730.

MLA Handbook (7^th Edition):

Calero, Vanessa. “A Framework for Measuring Privacy Risks of YouTube.” 2020. Web. 19 Jan 2021.

Vancouver:

Calero V. A Framework for Measuring Privacy Risks of YouTube. [Internet] [Masters thesis]. McMaster University; 2020. [cited 2021 Jan 19]. Available from: http://hdl.handle.net/11375/25730.

Council of Science Editors:

Calero V. A Framework for Measuring Privacy Risks of YouTube. [Masters Thesis]. McMaster University; 2020. Available from: http://hdl.handle.net/11375/25730

University of Notre Dame

7. Evercita Cuevas Eugenio. Some Methods for Differentially Private Data Synthesis</h1>.

Degree: Applied and Computational Mathematics and Statistics, 2019, University of Notre Dame

URL: https://curate.nd.edu/show/pk02c824r7h

► Balancing between protecting the privacy of individuals who contribute to data sets and releasing data sets of good utility is of extreme importance. Even… (more)

▼ Balancing between protecting the privacy of individuals who contribute to data sets and releasing data sets of good utility is of extreme importance. Even with data sets anonymized, there is a still a possibility that an intruder may identify a subject in a released data set. Many of the existing methods for data privacy and confidentiality do not quantify the amount of privacy that the data set may leak. Differential privacy provides a conceptual approach to bring strong mathematical guarantee for privacy protection and quantifies the amount of privacy the data set leaks when it is released for public use. My dissertation explores the recently developed differentially private data synthesis (DIPS) methods for incorporating differential privacy when generating synthetic data to be publicly released. I first developed a DIPS algorithm called CIPHER to construct differentially privacy microdata from low dimensional histograms by solving linear equations with Tikhonov regularization. CIPHER decomposes joint probabilities via basic probability rules to construct the equation set and subsequently solves linear equations. Simulations and qualitative banking data case study was conducted to compare CIPHER to existing methods called MWEM (multiplicative weighting via exponential mechanism) and the full-dimensional histogram (FDH) sanitization. Next my dissertation focuses on a exponential random graph model that incorporates differential privacy for social network data. An additional level of complexity is present in social network data as the possibly many relationships between nodes and edges must be considered. The algorithm developed in my work was applied to several real-life data sets to understand how well the differential private synthetic social network data released by our algorithm compares to that of the original network. Lastly, my dissertation focuses on multiplicative weights and the single observation influence measure. This focused on exploring more in depth the multiplicative weighting via exponential mechanism and incorporating a single observation influence measure to allow the algorithm to be applied to any type of data, as long as the model and sufficient statistics are known. Advisors/Committee Members: Ick-Hoon Jin, Committee Member, Fang Liu, Research Director, Lizhen Lin, Committee Member.

Subjects/Keywords: Statistics; Data Privacy; Differential Privacy

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APA (6^th Edition):

Eugenio, E. C. (2019). Some Methods for Differentially Private Data Synthesis</h1>. (Thesis). University of Notre Dame. Retrieved from https://curate.nd.edu/show/pk02c824r7h

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Chicago Manual of Style (16^th Edition):

Eugenio, Evercita Cuevas. “Some Methods for Differentially Private Data Synthesis</h1>.” 2019. Thesis, University of Notre Dame. Accessed January 19, 2021. https://curate.nd.edu/show/pk02c824r7h.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

MLA Handbook (7^th Edition):

Eugenio, Evercita Cuevas. “Some Methods for Differentially Private Data Synthesis</h1>.” 2019. Web. 19 Jan 2021.

Vancouver:

Eugenio EC. Some Methods for Differentially Private Data Synthesis</h1>. [Internet] [Thesis]. University of Notre Dame; 2019. [cited 2021 Jan 19]. Available from: https://curate.nd.edu/show/pk02c824r7h.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Council of Science Editors:

Eugenio EC. Some Methods for Differentially Private Data Synthesis</h1>. [Thesis]. University of Notre Dame; 2019. Available from: https://curate.nd.edu/show/pk02c824r7h

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

University of Illinois – Urbana-Champaign

8. Bindschadler, Vincent. Privacy-preserving seedbased data synthesis.

Degree: PhD, Computer Science, 2018, University of Illinois – Urbana-Champaign

URL: http://hdl.handle.net/2142/101661

► How can we share sensitive datasets in such a way as to maximize utility while simultaneously safeguarding privacy? This thesis proposes an answer to this… (more)

▼ How can we share sensitive datasets in such a way as to maximize utility while simultaneously safeguarding privacy? This thesis proposes an answer to this question by re-framing the problem of sharing sensitive datasets as a data synthesis task. Specifically, we propose a framework to synthesize full data records in a privacy-preserving way so that they can be shared instead of the original sensitive data. The core the framework is a technique called seedbased data synthesis. Seedbased data synthesis produces data records by conditioning the output of a generative model on some input data record called the seed. This technique produces synthetic records that are similar to their seeds, which results in high quality outputs. But it simultaneously introduces statistical dependence between synthetic records and their seeds, which may compromise privacy. As a countermeasure, we introduce a new class of techniques that can achieve strong privacy notions in this setting: privacy tests. Privacy tests are algorithms that probabilistically reject candidate synthetics records which are determined to leak sensitive information. Synthetic records that fail the test are simply discarded, whereas those that pass the test are deemed safe and included in the synthetic dataset to be shared. We design two privacy tests that provably yield differential privacy. We analyze the quality of synthetic datasets based on a cryptography-inspired definition of distinguishability: if synthetic data records are indistinguishable from real records, then they are (by definition) as useful as real data. On the theory front, we characterize the utility-privacy trade-off of seedbased data synthesis. On the experimental front, we design an efficient procedure to experimentally quantify distinguishability. We experimentally validate the seedbased data synthesis framework using five probabilistic generative models. Specifically, using real-world datasets as input, we produce synthetic data records for four different application scenarios and data types: location trajectories, census microdata, medical data, and facial images. We evaluate the quality of the produced synthetic records using both application-dependent utility metrics and distinguishability, and show that the framework is capable of producing highly realistic synthetic data records while providing differential privacy for conservative parameters. Advisors/Committee Members: Gunter, Carl A. (advisor), Gunter, Carl A. (Committee Chair), Zhai, ChengXiang (committee member), Borisov, Nikita (committee member), Smith, Adam D (committee member).

Subjects/Keywords: Privacy; Data Privacy; Synthetic Data

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APA (6^th Edition):

Bindschadler, V. (2018). Privacy-preserving seedbased data synthesis. (Doctoral Dissertation). University of Illinois – Urbana-Champaign. Retrieved from http://hdl.handle.net/2142/101661

Chicago Manual of Style (16^th Edition):

Bindschadler, Vincent. “Privacy-preserving seedbased data synthesis.” 2018. Doctoral Dissertation, University of Illinois – Urbana-Champaign. Accessed January 19, 2021. http://hdl.handle.net/2142/101661.

MLA Handbook (7^th Edition):

Bindschadler, Vincent. “Privacy-preserving seedbased data synthesis.” 2018. Web. 19 Jan 2021.

Vancouver:

Bindschadler V. Privacy-preserving seedbased data synthesis. [Internet] [Doctoral dissertation]. University of Illinois – Urbana-Champaign; 2018. [cited 2021 Jan 19]. Available from: http://hdl.handle.net/2142/101661.

Council of Science Editors:

Bindschadler V. Privacy-preserving seedbased data synthesis. [Doctoral Dissertation]. University of Illinois – Urbana-Champaign; 2018. Available from: http://hdl.handle.net/2142/101661

9. Uteck, Anne E. Reconceptualizing Spatial Privacy for the Internet of Everything .

Degree: 2013, University of Ottawa

URL: http://hdl.handle.net/10393/30295

► Twenty years ago, a team of Silicon Valley researchers, led by computing scientist Mark Weiser, envisioned a world in which computing would become an integral… (more)

▼ Twenty years ago, a team of Silicon Valley researchers, led by computing scientist Mark Weiser, envisioned a world in which computing would become an integral part of our everyday experience. Today, this vision is being realized. As technologies are combined, integrated and connected to networks, we are moving to a society characterized by “ubiquitous computing” — a paradigm used to describe pervasive technological embeddedness; from things, to people, to places. Enabling technologies, such as Global Positioning Systems (GPS), Radio-Frequency Identification (RFID) and advanced wireless devices are being introduced and woven into the fabric of our daily lives. With these convergences emerges the unique ability to locate and track people and things anywhere, anytime—including real-time. There are compelling advantages to such an enhanced surveillance capability serving important public interests. Yet, bringing computing technologies beyond the desktop and into the everyday physical world more directly and more pervasively compromise the spaces and places of our lives, challenging our fundamental ideas about spatial boundaries and the privacy expectations that accompany them. This dissertation examines these issues with the aim of reconceptualizing spatial privacy so that it is capable of sustained, effective legal protection in a world of ubiquitous computing. Chapter One provides a detailed study of the technological landscape, highlighting three key characteristics of ubiquitous computing: (i) physicality, (ii) invisibility and (iii) context-awareness. Having examined what is considered the “next wave” of computing technology. Chapter Two explores the quantitative and qualitative changes in surveillance activity facilitated by ubiquitous computing. It identifies and discusses the emerging privacy implications raised by ubiquitous surveillance technologies, asserting the increasing importance of reconceiving spatial privacy as computing technology becomes physically embedded in the real world. Chapter Three examines the conceptual and legal privacy landscape, surveying leading privacy theories in order to articulate the array of underlying values and interests. This survey includes not only privacy scholarship but also privacy jurisprudence, principally as it has been developed under section 8 of the Canadian Charter of Rights and Freedoms. Central to this dissertation, this analysis demonstrates the extent to which current privacy law is not adequate to protect the spatial dimension of privacy. Addressing this deficit, Chapter Three calls for a reconceptualization of the traditional category of territorial privacy so that it is capable of sustaining effective legal protection. This conceptual reformation of spatial privacy begins in Chapter Four, which provides a multi-disciplinary investigation of the meaning of place. It adopts an experiential conception developed within the field of Humanistic Geography, better reflecting the spatiality and interactive nature of our everyday lives. Based on this foundation, a new…

Subjects/Keywords: ubicomp privacy

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APA (6^th Edition):

Uteck, A. E. (2013). Reconceptualizing Spatial Privacy for the Internet of Everything . (Thesis). University of Ottawa. Retrieved from http://hdl.handle.net/10393/30295

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Chicago Manual of Style (16^th Edition):

Uteck, Anne E. “Reconceptualizing Spatial Privacy for the Internet of Everything .” 2013. Thesis, University of Ottawa. Accessed January 19, 2021. http://hdl.handle.net/10393/30295.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

MLA Handbook (7^th Edition):

Uteck, Anne E. “Reconceptualizing Spatial Privacy for the Internet of Everything .” 2013. Web. 19 Jan 2021.

Vancouver:

Uteck AE. Reconceptualizing Spatial Privacy for the Internet of Everything . [Internet] [Thesis]. University of Ottawa; 2013. [cited 2021 Jan 19]. Available from: http://hdl.handle.net/10393/30295.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Council of Science Editors:

Uteck AE. Reconceptualizing Spatial Privacy for the Internet of Everything . [Thesis]. University of Ottawa; 2013. Available from: http://hdl.handle.net/10393/30295

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

University of Arizona

10. Newell, Patricia Brierley. The meaning and use of privacy: A study of young adults.

Degree: 1992, University of Arizona

URL: http://hdl.handle.net/10150/185867

► Two hundred and forty-three young adults responded to an open and non-directive question asking them to describe an occasion when they required privacy, defined here… (more)

▼ Two hundred and forty-three young adults responded to an open and non-directive question asking them to describe an occasion when they required privacy, defined here as a condition of separation from the public domain, which is voluntary and temporary, and into which other persons, including the state, as representative of the public domain, do not justifiably intrude. A subsequent questionnaire established SES variables and the average frequency and duration of privacy experiences. 72.4% associated a desire for privacy with social antecedent conditions, 16% for task oriented purposes, 9.5% because of some organismic reason and 2.1% indicated aversive conditions of the physical environment such as noise. Results showed that 82% of all subjects required privacy due to adverse circumstances. A fairly large proportion, especially among females and minorities, were not able to achieve privacy although they required it. For the most part this was because they took no action. Although there were significant sex and race differences found for the process of acquiring privacy, there was marked similarity in the places and behaviours employed during privacy. There was one exception. Females mentioned safe places significantly more than males. Satisfactorily achieving privacy was associated with positive action in the case of 76 subjects, with psychological withdrawal by 17 subjects, with avoidance actions by 8 subjects and by no action by 7 subjects. Since 199 of the 243 subjects indicated initial negative affect and the majority of those achieving privacy indicated positive results, such as feeling better, more relaxed and confident and being ready to face the world again, it was felt that the results supported a systems model of privacy which fulfills a cross-cultural therapeutic function. From the systems perspective privacy is seen as fulfilling two functions; systems maintenance and systems development. Systems maintenance refers to the balancing act performed by the human body to remain within healthy operating limits. Systems development refers to the general tendency of mankind to extend boundaries, learn new skills, and progress towards self-actualisation. Results support a definition of privacy that reflects an interactive Person-Environment condition. Advisors/Committee Members: Ittelson, W.H (advisor), Bartlett, N.R. (committeemember), Bechtel, R.B. (committeemember), Wilkin, D.C. (committeemember), Salomon, V. (committeemember).

Subjects/Keywords: Privacy.

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APA (6^th Edition):

Newell, P. B. (1992). The meaning and use of privacy: A study of young adults. (Doctoral Dissertation). University of Arizona. Retrieved from http://hdl.handle.net/10150/185867

Chicago Manual of Style (16^th Edition):

Newell, Patricia Brierley. “The meaning and use of privacy: A study of young adults. ” 1992. Doctoral Dissertation, University of Arizona. Accessed January 19, 2021. http://hdl.handle.net/10150/185867.

MLA Handbook (7^th Edition):

Newell, Patricia Brierley. “The meaning and use of privacy: A study of young adults. ” 1992. Web. 19 Jan 2021.

Vancouver:

Newell PB. The meaning and use of privacy: A study of young adults. [Internet] [Doctoral dissertation]. University of Arizona; 1992. [cited 2021 Jan 19]. Available from: http://hdl.handle.net/10150/185867.

Council of Science Editors:

Newell PB. The meaning and use of privacy: A study of young adults. [Doctoral Dissertation]. University of Arizona; 1992. Available from: http://hdl.handle.net/10150/185867

Tartu University

11. Baghery, Karim. Reducing trust and improving security in zk-SNARKs and commitments .

Degree: 2020, Tartu University

URL: http://hdl.handle.net/10062/68424

► zk-SNARK-id on tõhusad ja praktilised mitteinteraktiivsed tõestussüsteemid, mis on konstrueeritud viitestringi mudelis ning tänu kompaktsetele tõestustele ja väga tõhusale verifitseeritavusele on need laialdaselt kasutusele võetud… (more)

▼ zk-SNARK-id on tõhusad ja praktilised mitteinteraktiivsed tõestussüsteemid, mis on konstrueeritud viitestringi mudelis ning tänu kompaktsetele tõestustele ja väga tõhusale verifitseeritavusele on need laialdaselt kasutusele võetud suuremahulistes praktilistes rakendustes. Selles töös uurime zk-SNARK-e kahest vaatenurgast: nende usalduse vähendamine ja turvalisuse tugevdamine. Esimeses suunas uurime kui palju saab vähendada usaldust paaristuspõhiste zk-SNARK-ide puhul ilma nende tõhusust ohverdamata niiviisi, et kasutajad saavad teatud turvataseme ka siis kui seadistusfaas tehti pahatahtlikult või kui avalikustati seadistusfaasi salajane teave. Me pakume välja mõned tõhusad konstruktsioonid, mis suudavad takistada zk-SNARK-i seadistusfaasi ründeid ja mis saavutavad senisest tugevama turvataseme. Näitame ka seda, et sarnased tehnikad võimaldavad leevendada usaldust tagauksega kinnitusskeemides, mis on krüptograafiliste primitiivide veel üks silmapaistev perekond ja mis samuti nõub usaldatud seadistusfaasi. Teises suunas esitame mõned tõhusad konstruktsioonid, mis tagavad parema turvalisuse minimaalsete lisakuludega. Mõned esitatud konstruktsioonidest võimaldavad lihtsustada praegusi TK-turvalisi protokolle, nimelt privaatsust säilitavate nutilepingusüsteemide Hawk ja Gyges konstruktsiooni, ja parandada nende tõhusust. Uusi konstruktsioone saab aga otse kasutada uutes protokollides, mis soovivad kasutada zk-SNARK-e. Osa väljapakutud zk-SNARK-e on implementeeritud teegis Libsnark ja empiirilised tulemused kinnitavad, et usalduse vähendamiseks või suurema turvalisuse saavutamiseks on arvutuslikud lisakulud väikesed.; Zero-knowledge Succinct Non-interactive ARguments of Knowledge (zk-SNARKs) are an efficient family of NIZK proof systems that are constructed in the Common Reference String (CRS) model and due to their succinct proofs and very efficient verification, they are widely adopted in large-scale practical applications. In this thesis, we study zk-SNARKs from two perspectives, namely reducing trust and improving security in them. In the first direction, we investigate how much one can mitigate trust in pairing-based zk-SNARKs without sacrificing their efficiency. In such constructions, the parties of protocol will obtain a certain level of security even if the setup phase was done maliciously or the secret information of the setup phase was revealed. As a result of this direction, we present some efficient constructions that can resist against subverting of the setup phase of zk-SNARKs and achieve a certain level of security which is stronger than before. We also show that similar techniques will allow us to mitigate the trust in the trapdoor commitment schemes that are another prominent family of cryptographic primitives that require a trusted setup phase. In the second direction, we present some efficient constructions that achieve more security with minimal overhead. Some of the presented constructions allow to simplify the construction of current UC-secure protocols and improve their efficiency. New… Advisors/Committee Members: Lipmaa, Helger, juhendaja (advisor).

Subjects/Keywords: privacy; cryptography

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APA (6^th Edition):

Baghery, K. (2020). Reducing trust and improving security in zk-SNARKs and commitments . (Thesis). Tartu University. Retrieved from http://hdl.handle.net/10062/68424

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Chicago Manual of Style (16^th Edition):

Baghery, Karim. “Reducing trust and improving security in zk-SNARKs and commitments .” 2020. Thesis, Tartu University. Accessed January 19, 2021. http://hdl.handle.net/10062/68424.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

MLA Handbook (7^th Edition):

Baghery, Karim. “Reducing trust and improving security in zk-SNARKs and commitments .” 2020. Web. 19 Jan 2021.

Vancouver:

Baghery K. Reducing trust and improving security in zk-SNARKs and commitments . [Internet] [Thesis]. Tartu University; 2020. [cited 2021 Jan 19]. Available from: http://hdl.handle.net/10062/68424.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Council of Science Editors:

Baghery K. Reducing trust and improving security in zk-SNARKs and commitments . [Thesis]. Tartu University; 2020. Available from: http://hdl.handle.net/10062/68424

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

University of Texas – Austin

12. -6848-2988. Exploiting leakage in privacy-protecting systems.

Degree: PhD, Computer science, 2016, University of Texas – Austin

URL: http://hdl.handle.net/2152/45559

► Conventional systems store data unencrypted. This allows them to easily access and manipulate their data. However, by not protecting their data, these systems are at… (more)

▼ Conventional systems store data unencrypted. This allows them to easily access and manipulate their data. However, by not protecting their data, these systems are at a greater risk if they are compromised by a malicious hacker. More advanced systems add encryption to their data, but this causes other issues. Normal encryption often ruins the ability to run computations on data, negating many of the reasons to store the data in the first place. More recently, some systems have attempted to strike a compromise between security and functionality by using encryption that partially protects their data while still allowing certain operations to be performed. Examples of these systems include general purpose frameworks like Mylar for Web applications, as well as domain- and application-specific systems like P3 for photo storage. This dissertation examines the privacy concerns that arise when using these systems with realistic datasets and real-world usage scenarios. The first system we explore is Mylar, an extension to the popular Meteor framework. Meteor is a JavaScript-based framework for concurrently developing the client and server parts of Web apps. Mylar allows users to share and search over data while protecting against a compromised or malicious server. We expand Mylar's vague definitions of passive and active adversaries into three threat models and show that Mylar is insecure against all three models. Mylar's metadata leaks sensitive information to an adversary with one-time access to Mylar's encrypted database. Mylar provides no protection against adversaries which can monitor user access patterns, allowing them to watch for data dependent behavior corresponding to sensitive information. Finally, Mylar fails to protect against active attackers who, by nature of the system, have been given the ability to modify the database and run search over the encrypted data. We next look at set of systems designed to protect sensitive images by selectively obfuscating them. We examine a system called P3 which splits an image into two images: a secret image that contains most of the identifying information and a public image that can be distributed with less risk of leaking information. We also investigate mosaicing (often called pixelation) and blurring, two commonly used image obfuscation techniques. Examining the obfuscated images, it's obvious that all three of these systems leak information. However, it's not clear how to exploit this leakage or if doing so is even possible. The authors of P3 specifically examined P3 using a number of techniques that mimic human image recognition. We bypass the need for human recognition by making use of modern machine learning techniques. Using neural networks, we are able to classify the obfuscated image content automatically without needing human assistance or having to define image features. Finally, we conclude by proposing a number of guidelines for creating modern privacy-preserving systems. We look at problems that arise when creating a scheme on paper as well as issues that… Advisors/Committee Members: Gouda, Mohamed G., 1947- (advisor), Shmatikov, Vitaly (advisor), Alvisi, Lorenzo (committee member), Witchel, Emmett (committee member).

Subjects/Keywords: Security; Privacy

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APA (6^th Edition):

-6848-2988. (2016). Exploiting leakage in privacy-protecting systems. (Doctoral Dissertation). University of Texas – Austin. Retrieved from http://hdl.handle.net/2152/45559

Note: this citation may be lacking information needed for this citation format:
Author name may be incomplete

Chicago Manual of Style (16^th Edition):

-6848-2988. “Exploiting leakage in privacy-protecting systems.” 2016. Doctoral Dissertation, University of Texas – Austin. Accessed January 19, 2021. http://hdl.handle.net/2152/45559.

Note: this citation may be lacking information needed for this citation format:
Author name may be incomplete

MLA Handbook (7^th Edition):

-6848-2988. “Exploiting leakage in privacy-protecting systems.” 2016. Web. 19 Jan 2021.

Note: this citation may be lacking information needed for this citation format:
Author name may be incomplete

Vancouver:

-6848-2988. Exploiting leakage in privacy-protecting systems. [Internet] [Doctoral dissertation]. University of Texas – Austin; 2016. [cited 2021 Jan 19]. Available from: http://hdl.handle.net/2152/45559.

Note: this citation may be lacking information needed for this citation format:
Author name may be incomplete

Council of Science Editors:

-6848-2988. Exploiting leakage in privacy-protecting systems. [Doctoral Dissertation]. University of Texas – Austin; 2016. Available from: http://hdl.handle.net/2152/45559

Note: this citation may be lacking information needed for this citation format:
Author name may be incomplete

University of Pretoria

13. [No author]. In search of search privacy .

Degree: 2011, University of Pretoria

URL: http://upetd.up.ac.za/thesis/available/etd-07222011-052805/

► Search engines have become integral to the way in which we use the Web of today. Not only are they an important real time source… (more)

Subjects/Keywords: Search privacy; Search engines; Online privacy; UCTD

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APA (6^th Edition):

author], [. (2011). In search of search privacy . (Doctoral Dissertation). University of Pretoria. Retrieved from http://upetd.up.ac.za/thesis/available/etd-07222011-052805/

Chicago Manual of Style (16^th Edition):

author], [No. “In search of search privacy .” 2011. Doctoral Dissertation, University of Pretoria. Accessed January 19, 2021. http://upetd.up.ac.za/thesis/available/etd-07222011-052805/.

MLA Handbook (7^th Edition):

author], [No. “In search of search privacy .” 2011. Web. 19 Jan 2021.

Vancouver:

author] [. In search of search privacy . [Internet] [Doctoral dissertation]. University of Pretoria; 2011. [cited 2021 Jan 19]. Available from: http://upetd.up.ac.za/thesis/available/etd-07222011-052805/.

Council of Science Editors:

author] [. In search of search privacy . [Doctoral Dissertation]. University of Pretoria; 2011. Available from: http://upetd.up.ac.za/thesis/available/etd-07222011-052805/

University of Waterloo

14. Irannejad, Arezoo. Designing Privacy-Enhanced Interfaces on Digital Tabletops for Public Settings.

Degree: 2013, University of Waterloo

URL: http://hdl.handle.net/10012/7366

► Protection of personal information has become a critical issue in the digital world. Many companies and service provider websites have adopted privacy policies and practices… (more)

▼ Protection of personal information has become a critical issue in the digital world. Many companies and service provider websites have adopted privacy policies and practices to protect users’ personal information to some extent. In addition, various governments are adopting privacy protection legislation. System developers, service providers, and interface designers play an important role in determining how to make systems fulfill legal requirements and satisfy users. The human factor requirements for effective privacy interface design can be categorized into four groups: (1) comprehension, (2) consciousness, (3) control, and (4) consent (Patrick & Kenny, 2003). Moreover, the type of technology that people are engaged with has a crucial role in determining what type of practices should be adopted. As Weiser (1996) envisioned, we are now in an “ubiquitous computing” (Ubicomp) era in which technologies such as digital tabletops (what Weiser called LiveBoards) are emerging for use in public settings. The collaborative and open nature of this type of smart device introduces new privacy threats that have not yet been thoroughly investigated and as a result have not been addressed in companies’ and governmental privacy statements and legislation. In this thesis, I provide an analytical description of the privacy threats unique to tabletop display environments. I then present several design suggestions for a tabletop display interface that addresses and mitigates these threats, followed by a qualitative evaluation of these designs based on Patrick and Kenny’s (2003) model. Results show that most participants have often experienced being shoulder-surfed or had privacy issues when sharing information with someone in a collaborative environment. Therefore, they found most of the techniques designed in this thesis helpful in providing information privacy for them when they are engaged with online social activities on digital tabletops in public settings. Among all of the proposed tested designs, the first three have proven to be effective in providing the required privacy. However, designs 4 and 5 had some shortfalls that made them less helpful for participants. The main problem with these two designs was that participants had difficulty understanding what they had to do in order to complete the given tasks.

Subjects/Keywords: Digital Tabletop; Privacy Policy; Facebook; Privacy Legislation

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APA (6^th Edition):

Irannejad, A. (2013). Designing Privacy-Enhanced Interfaces on Digital Tabletops for Public Settings. (Thesis). University of Waterloo. Retrieved from http://hdl.handle.net/10012/7366

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Chicago Manual of Style (16^th Edition):

Irannejad, Arezoo. “Designing Privacy-Enhanced Interfaces on Digital Tabletops for Public Settings.” 2013. Thesis, University of Waterloo. Accessed January 19, 2021. http://hdl.handle.net/10012/7366.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

MLA Handbook (7^th Edition):

Irannejad, Arezoo. “Designing Privacy-Enhanced Interfaces on Digital Tabletops for Public Settings.” 2013. Web. 19 Jan 2021.

Vancouver:

Irannejad A. Designing Privacy-Enhanced Interfaces on Digital Tabletops for Public Settings. [Internet] [Thesis]. University of Waterloo; 2013. [cited 2021 Jan 19]. Available from: http://hdl.handle.net/10012/7366.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Council of Science Editors:

Irannejad A. Designing Privacy-Enhanced Interfaces on Digital Tabletops for Public Settings. [Thesis]. University of Waterloo; 2013. Available from: http://hdl.handle.net/10012/7366

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

University of Waterloo

15. Devet, Casey. The Best of Both Worlds: Combining Information-Theoretic and Computational Private Information Retrieval for Communication Efficiency.

Degree: 2014, University of Waterloo

URL: http://hdl.handle.net/10012/8640

► The goal of Private Information Retrieval (PIR) is the ability to query a database successfully without the operator of the database server discovering which record(s)… (more)

▼ The goal of Private Information Retrieval (PIR) is the ability to query a database successfully without the operator of the database server discovering which record(s) of the database the querier is interested in. There are two main classes of PIR protocols: those that provide privacy guarantees based on the computational limitations of servers, called computational PIR or CPIR, and those that rely on multiple servers not colluding for privacy, called information-theoretic PIR or IT-PIR. These two classes have different advantages and disadvantages that make them more or less attractive to designers of PIR-enabled privacy enhancing technologies. We present a hybrid PIR protocol that combines two PIR protocols: one CPIR protocol and one IT-PIR protocol. Our protocol inherits many positive aspects of both classes and mitigates some of the negative aspects. For example, our hybrid protocol maintains partial privacy when the security assumptions of one of the component protocols is broken, mitigating the privacy loss in such an event. We have implemented our protocol as an extension of the Percy++ library so that it combines a PIR protocol by Aguilar Melchor and Gaborit with one by Goldberg. We show that our hybrid protocol uses less communication than either of these component protocols and that our scheme is particularly beneficial when the number of records in a database is large compared to the size of the records. This situation arises in applications such as TLS certificate verification, anonymous communications systems, private LDAP lookups, and others. The server-side computation involved in the PIR protocols that we discuss in this thesis all lend themselves to parallelization. As an extension to the Percy++ library we have implemented parallelized server computation for each of these protocols using both multithreading and distributed computation. We show that using parallelization allows the servers to reduce the latency involved in serving PIR queries.

Subjects/Keywords: private information retrieval; privacy enhancing technologies; privacy

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APA (6^th Edition):

Devet, C. (2014). The Best of Both Worlds: Combining Information-Theoretic and Computational Private Information Retrieval for Communication Efficiency. (Thesis). University of Waterloo. Retrieved from http://hdl.handle.net/10012/8640

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Chicago Manual of Style (16^th Edition):

Devet, Casey. “The Best of Both Worlds: Combining Information-Theoretic and Computational Private Information Retrieval for Communication Efficiency.” 2014. Thesis, University of Waterloo. Accessed January 19, 2021. http://hdl.handle.net/10012/8640.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

MLA Handbook (7^th Edition):

Devet, Casey. “The Best of Both Worlds: Combining Information-Theoretic and Computational Private Information Retrieval for Communication Efficiency.” 2014. Web. 19 Jan 2021.

Vancouver:

Devet C. The Best of Both Worlds: Combining Information-Theoretic and Computational Private Information Retrieval for Communication Efficiency. [Internet] [Thesis]. University of Waterloo; 2014. [cited 2021 Jan 19]. Available from: http://hdl.handle.net/10012/8640.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Council of Science Editors:

Devet C. The Best of Both Worlds: Combining Information-Theoretic and Computational Private Information Retrieval for Communication Efficiency. [Thesis]. University of Waterloo; 2014. Available from: http://hdl.handle.net/10012/8640

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

University of Pretoria

16. Brandi, Wesley Antonio. In search of search privacy.

Degree: Computer Science, 2011, University of Pretoria

URL: http://hdl.handle.net/2263/26552

► Search engines have become integral to the way in which we use the Web of today. Not only are they an important real time source… (more)

Subjects/Keywords: Search privacy; Search engines; Online privacy; UCTD

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APA (6^th Edition):

Brandi, W. (2011). In search of search privacy. (Doctoral Dissertation). University of Pretoria. Retrieved from http://hdl.handle.net/2263/26552

Chicago Manual of Style (16^th Edition):

Brandi, Wesley. “In search of search privacy.” 2011. Doctoral Dissertation, University of Pretoria. Accessed January 19, 2021. http://hdl.handle.net/2263/26552.

MLA Handbook (7^th Edition):

Brandi, Wesley. “In search of search privacy.” 2011. Web. 19 Jan 2021.

Vancouver:

Brandi W. In search of search privacy. [Internet] [Doctoral dissertation]. University of Pretoria; 2011. [cited 2021 Jan 19]. Available from: http://hdl.handle.net/2263/26552.

Council of Science Editors:

Brandi W. In search of search privacy. [Doctoral Dissertation]. University of Pretoria; 2011. Available from: http://hdl.handle.net/2263/26552

University of Windsor

17. Patel, Dipeshkumar Shaileshkumar. Parallel Implementation of Privacy Preserving Multi-Layer Neural Networks.

Degree: MS, Computer Science, 2020, University of Windsor

URL: https://scholar.uwindsor.ca/etd/8386

► With recent technological advancements, the amount of personal user data that is being generated is immense. Due to the large volume of data, machine learning… (more)

Subjects/Keywords: Deep Learning; Differential Privacy; Privacy-preserving

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APA (6^th Edition):

Patel, D. S. (2020). Parallel Implementation of Privacy Preserving Multi-Layer Neural Networks. (Masters Thesis). University of Windsor. Retrieved from https://scholar.uwindsor.ca/etd/8386

Chicago Manual of Style (16^th Edition):

Patel, Dipeshkumar Shaileshkumar. “Parallel Implementation of Privacy Preserving Multi-Layer Neural Networks.” 2020. Masters Thesis, University of Windsor. Accessed January 19, 2021. https://scholar.uwindsor.ca/etd/8386.

MLA Handbook (7^th Edition):

Patel, Dipeshkumar Shaileshkumar. “Parallel Implementation of Privacy Preserving Multi-Layer Neural Networks.” 2020. Web. 19 Jan 2021.

Vancouver:

Patel DS. Parallel Implementation of Privacy Preserving Multi-Layer Neural Networks. [Internet] [Masters thesis]. University of Windsor; 2020. [cited 2021 Jan 19]. Available from: https://scholar.uwindsor.ca/etd/8386.

Council of Science Editors:

Patel DS. Parallel Implementation of Privacy Preserving Multi-Layer Neural Networks. [Masters Thesis]. University of Windsor; 2020. Available from: https://scholar.uwindsor.ca/etd/8386

Tampere University

18. Lu, Pengfei. Apply the LINDDUN framework for privacy requirement analysis .

Degree: 2017, Tampere University

URL: https://trepo.tuni.fi/handle/10024/100871

► LINDDUN is a framework to identify privacy threats and elicit privacy requirements from a system. It has complete procedures and strong support on privacy requirements… (more)

Subjects/Keywords: LINDDUN; privacy threat; privacy requirement; improvement.

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APA (6^th Edition):

Lu, P. (2017). Apply the LINDDUN framework for privacy requirement analysis . (Masters Thesis). Tampere University. Retrieved from https://trepo.tuni.fi/handle/10024/100871

Chicago Manual of Style (16^th Edition):

Lu, Pengfei. “Apply the LINDDUN framework for privacy requirement analysis .” 2017. Masters Thesis, Tampere University. Accessed January 19, 2021. https://trepo.tuni.fi/handle/10024/100871.

MLA Handbook (7^th Edition):

Lu, Pengfei. “Apply the LINDDUN framework for privacy requirement analysis .” 2017. Web. 19 Jan 2021.

Vancouver:

Lu P. Apply the LINDDUN framework for privacy requirement analysis . [Internet] [Masters thesis]. Tampere University; 2017. [cited 2021 Jan 19]. Available from: https://trepo.tuni.fi/handle/10024/100871.

Council of Science Editors:

Lu P. Apply the LINDDUN framework for privacy requirement analysis . [Masters Thesis]. Tampere University; 2017. Available from: https://trepo.tuni.fi/handle/10024/100871

19. MAC AONGHUSA, POL. Personal privacy and online systems.

Degree: School of Computer Science & Statistics. Discipline of Computer Science, 2019, Trinity College Dublin

URL: http://hdl.handle.net/2262/86116

► A significant portion of the modern internet is funded by commercial return from customised content such as advertising where user interests are learned from users'… (more)

Subjects/Keywords: Privacy Search Anonymity Security; Personal Privacy

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APA (6^th Edition):

MAC AONGHUSA, P. (2019). Personal privacy and online systems. (Thesis). Trinity College Dublin. Retrieved from http://hdl.handle.net/2262/86116

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Chicago Manual of Style (16^th Edition):

MAC AONGHUSA, POL. “Personal privacy and online systems.” 2019. Thesis, Trinity College Dublin. Accessed January 19, 2021. http://hdl.handle.net/2262/86116.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

MLA Handbook (7^th Edition):

MAC AONGHUSA, POL. “Personal privacy and online systems.” 2019. Web. 19 Jan 2021.

Vancouver:

MAC AONGHUSA P. Personal privacy and online systems. [Internet] [Thesis]. Trinity College Dublin; 2019. [cited 2021 Jan 19]. Available from: http://hdl.handle.net/2262/86116.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Council of Science Editors:

MAC AONGHUSA P. Personal privacy and online systems. [Thesis]. Trinity College Dublin; 2019. Available from: http://hdl.handle.net/2262/86116

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

20. Liu, Changchang. Rethinking the Science of Statistical Privacy .

Degree: PhD, 2019, Princeton University

URL: http://arks.princeton.edu/ark:/88435/dsp017d278w81g

► Nowadays, more and more data, such as social network data, mobility data, business data, medical data, are shared or made public to enable real world… (more)

▼ Nowadays, more and more data, such as social network data, mobility data, business data, medical data, are shared or made public to enable real world applications. Such data is likely to contain sensitive information and thus needs to be obfuscated prior to release, to protect privacy. However, existing statistical data privacy mechanisms in the security community have several weaknesses: 1) they are limited in protecting sensitive information in the static scenario, and can not be generally applied to accommodate temporal dynamics. With the increasing development of data science, a large amount of sensitive data such as personal social relationships are becoming public, making the privacy concerns of a time series of data more and more challenging; 2) these privacy mechanisms do not explicitly capture correlations, leaving open the possibility of inference attacks. In many real world scenarios, the data tuple dependence/ correlation occurs naturally in datasets due to social, behavioral and genetic interactions between users; 3) there are very few practical guidelines on how to apply existing statistical privacy notions in practice, and a key challenge is how to set an appropriate value for the privacy parameters. In this thesis, we aim to overcome these weaknesses to provide privacy guarantees for protecting dynamic data structures, dependent (correlated) data structures. We also aim to discover useful and interpretable guidelines for selecting proper values of parameters in the state-of-the-art privacy-preserving frameworks. Furthermore, we investigate how an auxiliary information – in the form of prior distribution of the database and correlation across records and time – can influence the proper choice of the privacy parameters. Specifically, we 1) first propose the design of a privacy-preserving system called LinkMirage, that mediates access to dynamic social relationships in social networks, while effectively supporting social graph-based data analytics; 2) explicitly incorporate structural properties of data into current differential privacy metrics and mechanisms, to enable privacy-preserving data analytics for dependent/correlated data; and 3) finally provide a quantitative analysis of how hypothesis testing can guide the choice of the privacy parameters in an interpretable manner for differential privacy and other statistical privacy frameworks. Overall, our work aims to place the field of statistical data privacy on a firm analytic foundation that is coupled with the design of practical systems. Advisors/Committee Members: Mittal, Prateek (advisor).

Subjects/Keywords: Auxiliary Information; Differential Privacy; Statistical Privacy

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APA (6^th Edition):

Liu, C. (2019). Rethinking the Science of Statistical Privacy . (Doctoral Dissertation). Princeton University. Retrieved from http://arks.princeton.edu/ark:/88435/dsp017d278w81g

Chicago Manual of Style (16^th Edition):

Liu, Changchang. “Rethinking the Science of Statistical Privacy .” 2019. Doctoral Dissertation, Princeton University. Accessed January 19, 2021. http://arks.princeton.edu/ark:/88435/dsp017d278w81g.

MLA Handbook (7^th Edition):

Liu, Changchang. “Rethinking the Science of Statistical Privacy .” 2019. Web. 19 Jan 2021.

Vancouver:

Liu C. Rethinking the Science of Statistical Privacy . [Internet] [Doctoral dissertation]. Princeton University; 2019. [cited 2021 Jan 19]. Available from: http://arks.princeton.edu/ark:/88435/dsp017d278w81g.

Council of Science Editors:

Liu C. Rethinking the Science of Statistical Privacy . [Doctoral Dissertation]. Princeton University; 2019. Available from: http://arks.princeton.edu/ark:/88435/dsp017d278w81g

University of Notre Dame

21. Claire McKay Bowen. Data Privacy via Integration of Differential Privacy and Data Synthesis</h1>.

Degree: Applied and Computational Mathematics and Statistics, 2018, University of Notre Dame

URL: https://curate.nd.edu/show/n009w092301

► When sharing data among collaborators or releasing data publicly, one of the crucial concerns is the extreme risk of exposing personal information of individuals… (more)

Subjects/Keywords: data privacy; differential privacy; data synthesis

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APA (6^th Edition):

Bowen, C. M. (2018). Data Privacy via Integration of Differential Privacy and Data Synthesis</h1>. (Thesis). University of Notre Dame. Retrieved from https://curate.nd.edu/show/n009w092301

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Chicago Manual of Style (16^th Edition):

Bowen, Claire McKay. “Data Privacy via Integration of Differential Privacy and Data Synthesis</h1>.” 2018. Thesis, University of Notre Dame. Accessed January 19, 2021. https://curate.nd.edu/show/n009w092301.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

MLA Handbook (7^th Edition):

Bowen, Claire McKay. “Data Privacy via Integration of Differential Privacy and Data Synthesis</h1>.” 2018. Web. 19 Jan 2021.

Vancouver:

Bowen CM. Data Privacy via Integration of Differential Privacy and Data Synthesis</h1>. [Internet] [Thesis]. University of Notre Dame; 2018. [cited 2021 Jan 19]. Available from: https://curate.nd.edu/show/n009w092301.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Council of Science Editors:

Bowen CM. Data Privacy via Integration of Differential Privacy and Data Synthesis</h1>. [Thesis]. University of Notre Dame; 2018. Available from: https://curate.nd.edu/show/n009w092301

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Duke University

22. Chen, Yan. Applying Differential Privacy with Sparse Vector Technique .

Degree: 2018, Duke University

URL: http://hdl.handle.net/10161/16906

► In today's fast-paced developing digital world, a wide range of services such as web services, social networks, and mobile devices collect a large amount… (more)

▼ In today's fast-paced developing digital world, a wide range of services such as web services, social networks, and mobile devices collect a large amount of personal data from their users. Although sharing and mining large-scale personal data can help improve the functionality of these services, it also raises privacy concerns for the individuals who contribute to the data. Differential privacy has emerged as a de facto standard for analyzing sensitive data with strong provable privacy guarantees for individuals. There is a rich literature that has led to the development of differentially private algorithms for numerous data analysis tasks. The privacy proof of these algorithms are mainly based on (a) the privacy guarantees of a small number of primitives, and (b) a set of composition theorems that help reason about the privacy guarantee of algorithms based on the used private primitives. In this dissertation, we focus on the usage of one popular differentially private primitive, Sparse Vector Technique, which can support multiple queries with limited privacy cost. First, we revisit the original Sparse Vector Technique and its variants, proving that many of its variants violate the definition of differential privacy. Furthermore, we design an attack algorithm demonstrating that an adversary can reconstruct the true database with high accuracy having access to these ``broken" variants. Next, we utilize the original Sparse Vector Technique primitive to design new solutions for practical problems. We propose the first algorithms to publish regression diagnostics under differential privacy for evaluating regression models. Specifically, we create differentially private versions of residual plots for linear regression as well as receiver operating characteristic (ROC) curves and binned residual plot for logistic regression. Comprehensive empirical studies show these algorithms are effective and enable users to evaluate the correctness of their model assumptions. We then make use of Sparse Vector Technique as a key primitive to design a novel algorithm for differentially private stream processing, supporting queries on streaming data. This novel algorithm is data adaptive and can simultaneously support multiple queries, such as unit counts, sliding windows and event monitoring, over a single or multiple stream resolutions. Through extensive evaluations, we show that this new technique outperforms the state-of-the-art algorithms, which are specialized to particular query types. Advisors/Committee Members: Machanavajjhala, Ashwin (advisor).

Subjects/Keywords: Computer science; Data Privacy; Differential Privacy

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APA · Chicago · MLA · Vancouver · CSE | Export to Zotero / EndNote / Reference Manager

APA (6^th Edition):

Chen, Y. (2018). Applying Differential Privacy with Sparse Vector Technique . (Thesis). Duke University. Retrieved from http://hdl.handle.net/10161/16906

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Chicago Manual of Style (16^th Edition):

Chen, Yan. “Applying Differential Privacy with Sparse Vector Technique .” 2018. Thesis, Duke University. Accessed January 19, 2021. http://hdl.handle.net/10161/16906.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

MLA Handbook (7^th Edition):

Chen, Yan. “Applying Differential Privacy with Sparse Vector Technique .” 2018. Web. 19 Jan 2021.

Vancouver:

Chen Y. Applying Differential Privacy with Sparse Vector Technique . [Internet] [Thesis]. Duke University; 2018. [cited 2021 Jan 19]. Available from: http://hdl.handle.net/10161/16906.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Council of Science Editors:

Chen Y. Applying Differential Privacy with Sparse Vector Technique . [Thesis]. Duke University; 2018. Available from: http://hdl.handle.net/10161/16906

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

University of Maryland

23. Groce, Adam Dowlin. New Notions and Mechanisms for Statistical Privacy.

Degree: Computer Science, 2014, University of Maryland

URL: http://hdl.handle.net/1903/15813

► Many large databases of personal information currently exist in the hands of corporations, nonprofits, and governments. The data in these databases could be used to… (more)

▼ Many large databases of personal information currently exist in the hands of corporations, nonprofits, and governments. The data in these databases could be used to answer any number of important questions, aiding in everything from basic research to day-to-day corporate decision-making. These questions must be answered while respecting the privacy of the individuals whose data are being used. However, even defining privacy in this setting can be difficult. The standard definition in the field is differential privacy. During the years since its introduction, a wide variety of query algorithms have been found that can achieve meaningful utility while at the same time protecting the privacy of individuals. However, differential privacy is a very strong definition, and in some settings it can seem too strong. Given the difficulties involved in getting differentially private output to all desirable queries, many have looked for ways to weaken differential privacy without losing its meaningful privacy guarantees. Here we discuss two such weakenings. The first is computational differential privacy, originally defined by Mironov et al. We find the promise of this weakening to be limited. We show two results that severely curtail the potential for computationally private mechanisms to add any utility over those that achieve standard differential privacy when working in the standard setting with all data held by a single entity. We then propose our own weakening, coupled-worlds privacy. This definition is meant to capture the cases where reasonable bounds can be placed on the adversary's certainty about the data (or, equivalently, the adversary's auxiliary information). We discuss the motivation for the definition, its relationship to other definitions in the literature, and its useful properties. Coupled-worlds privacy is actually a framework with which specific definitions can be instantiated, and we discuss a particular instantiation, distributional differential privacy, which we believe is of particular interest. Having introduced this definition, we then seek new distributionally differentially private query algorithms that can release useful information without the need to add noise, as is necessary when satisfying differential privacy. We show that one can release a variety of query output with distributional differential privacy, including histograms, sums, and least-squares regression lines. Advisors/Committee Members: Katz, Jonathan (advisor).

Subjects/Keywords: Computer science; Cryptography; Differential Privacy; Privacy

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APA (6^th Edition):

Groce, A. D. (2014). New Notions and Mechanisms for Statistical Privacy. (Thesis). University of Maryland. Retrieved from http://hdl.handle.net/1903/15813

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Chicago Manual of Style (16^th Edition):

Groce, Adam Dowlin. “New Notions and Mechanisms for Statistical Privacy.” 2014. Thesis, University of Maryland. Accessed January 19, 2021. http://hdl.handle.net/1903/15813.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

MLA Handbook (7^th Edition):

Groce, Adam Dowlin. “New Notions and Mechanisms for Statistical Privacy.” 2014. Web. 19 Jan 2021.

Vancouver:

Groce AD. New Notions and Mechanisms for Statistical Privacy. [Internet] [Thesis]. University of Maryland; 2014. [cited 2021 Jan 19]. Available from: http://hdl.handle.net/1903/15813.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Council of Science Editors:

Groce AD. New Notions and Mechanisms for Statistical Privacy. [Thesis]. University of Maryland; 2014. Available from: http://hdl.handle.net/1903/15813

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

NSYSU

24. Lai, Yi-jen. The Tension between Benefit and Risk on Facebook: The Effect of Need for Popularity and Privacy Concern on Facebook Privacy Management.

Degree: Master, Institute of Marketing Communication, 2015, NSYSU

URL: http://etd.lib.nsysu.edu.tw/ETD-db/ETD-search/view_etd?URN=etd-0727115-211706

► For Facebook users, the desire to be popular and their privacy concerns have made privacy management a paradoxical issue. This study explores how usersâ need… (more)

Subjects/Keywords: disclosure; privacy; social privacy concern; need for popularity; privacy management; privacy paradox; Facebook

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APA · Chicago · MLA · Vancouver · CSE | Export to Zotero / EndNote / Reference Manager

APA (6^th Edition):

Lai, Y. (2015). The Tension between Benefit and Risk on Facebook: The Effect of Need for Popularity and Privacy Concern on Facebook Privacy Management. (Thesis). NSYSU. Retrieved from http://etd.lib.nsysu.edu.tw/ETD-db/ETD-search/view_etd?URN=etd-0727115-211706

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Chicago Manual of Style (16^th Edition):

Lai, Yi-jen. “The Tension between Benefit and Risk on Facebook: The Effect of Need for Popularity and Privacy Concern on Facebook Privacy Management.” 2015. Thesis, NSYSU. Accessed January 19, 2021. http://etd.lib.nsysu.edu.tw/ETD-db/ETD-search/view_etd?URN=etd-0727115-211706.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

MLA Handbook (7^th Edition):

Lai, Yi-jen. “The Tension between Benefit and Risk on Facebook: The Effect of Need for Popularity and Privacy Concern on Facebook Privacy Management.” 2015. Web. 19 Jan 2021.

Vancouver:

Lai Y. The Tension between Benefit and Risk on Facebook: The Effect of Need for Popularity and Privacy Concern on Facebook Privacy Management. [Internet] [Thesis]. NSYSU; 2015. [cited 2021 Jan 19]. Available from: http://etd.lib.nsysu.edu.tw/ETD-db/ETD-search/view_etd?URN=etd-0727115-211706.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Council of Science Editors:

Lai Y. The Tension between Benefit and Risk on Facebook: The Effect of Need for Popularity and Privacy Concern on Facebook Privacy Management. [Thesis]. NSYSU; 2015. Available from: http://etd.lib.nsysu.edu.tw/ETD-db/ETD-search/view_etd?URN=etd-0727115-211706

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Tulane University

25. Fenske, Ellis. Anonymity and Linkability.

Degree: 2018, Tulane University

URL: https://digitallibrary.tulane.edu/islandora/object/tulane:79040

►

This thesis considers systems for anonymous communication between users of a cybersystem. Specifically, we consider the scenario where communications generated by the same user repeatedly… (more)

▼

This thesis considers systems for anonymous communication between users of a cybersystem. Specifically, we consider the scenario where communications generated by the same user repeatedly over time can or must be linked. Linked user behavior can leak information, which adversaries can use to de-anonymize users. Analyzing linked behavior can also generate information about the use of anonymity protocols that can be valuable for research, leading to more effective protocols. But techniques to collect such data must include assurances that the methods and outputs do not compromise user privacy. A main result of this thesis is an anonymity protocol called Private Set-Union Cardinality, designed to aggregate linked private user data safely. We prove that Private Set-Union Cardinality securely calculates the noisy cardinality of the union of a collection of distributed private data sets. This protocol is intended to take measurements in real-world anonymity systems like Tor and we prove it is secure even if a majority of the participants are dishonest as well as under general concurrent composition. The remaining results analyze path selection in anonymous routing systems. To obtain our results, we develop a mathematical framework to measure information leakage during repeated linkable path selection and propose new metrics: a radius that measures worst-case behavior, and a neighborhood graph that visualizes degradation of the system over time as a whole. We use these metrics to derive theoretical upper bounds on an adversary's accuracy in de-anonymization. Finally, we investigate an attack where users can be de-anonymized due to the information an adversary learns when failing to observe some event. We call these occurrences non-observations and we develop a theory of non-observations in anonymous routing systems, deriving theoretical bounds on the information leakage due to this behavior in the general case and for Tor.

1

Ellis Fenske

Advisors/Committee Members: Mislove, Michael (Thesis advisor), School of Science & Engineering Mathematics (Degree granting institution).

Subjects/Keywords: Anonymity; Privacy; Cryptography

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APA · Chicago · MLA · Vancouver · CSE | Export to Zotero / EndNote / Reference Manager

APA (6^th Edition):

Fenske, E. (2018). Anonymity and Linkability. (Thesis). Tulane University. Retrieved from https://digitallibrary.tulane.edu/islandora/object/tulane:79040

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Chicago Manual of Style (16^th Edition):

Fenske, Ellis. “Anonymity and Linkability.” 2018. Thesis, Tulane University. Accessed January 19, 2021. https://digitallibrary.tulane.edu/islandora/object/tulane:79040.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

MLA Handbook (7^th Edition):

Fenske, Ellis. “Anonymity and Linkability.” 2018. Web. 19 Jan 2021.

Vancouver:

Fenske E. Anonymity and Linkability. [Internet] [Thesis]. Tulane University; 2018. [cited 2021 Jan 19]. Available from: https://digitallibrary.tulane.edu/islandora/object/tulane:79040.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Council of Science Editors:

Fenske E. Anonymity and Linkability. [Thesis]. Tulane University; 2018. Available from: https://digitallibrary.tulane.edu/islandora/object/tulane:79040

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

26. Pu, Shi. GPU-based Parallel Computing Models and Implementations for Two-party Privacy-preserving Protocols.

Degree: 2013, Texas Digital Library

URL: http://hdl.handle.net/1969; http://hdl.handle.net/2249.1/66738

► In (two-party) privacy-preserving-based applications, two users use encrypted inputs to compute a function without giving out plaintext of their input values. Privacy-preserving computing algorithms have… (more)

▼ In (two-party) privacy-preserving-based applications, two users use encrypted inputs to compute a function without giving out plaintext of their input values. Privacy-preserving computing algorithms have to utilize a large amount of computing resources to handle the encryption-decryption operations. In this dissertation, we study optimal utilization of computing resources on the graphic processor unit (GPU) architecture for privacy-preserving protocols based on secure function evaluation (SFE) and the Elliptic Curve Cryptographic (ECC) and related algorithms. A number of privacy-preserving protocols are implemented, including private set intersection (PSI), secret handshaking (SH), secure Edit distance (ED) and Smith-Waterman (SW) problems. PSI is chosen to represent ECC point multiplication related computations, SH for bilinear pairing, and the last two for SFE-based dynamic programming (DP) problems. They represent different types of computations, so that in-depth understanding of the benefits and limitations of the GPU architecture for privacy preserving protocols is gained. For SFE-based ED and SW problems, a wavefront parallel computing model on the CPU-GPU architecture under the semi-honest security model is proposed. Low level parallelization techniques for GPU-based gate (de-)garbler, synchronized parallel memory access, pipelining, and general GPU resource mapping policies are developed. This dissertation shows that the GPU architecture can be fully utilized to speed up SFE-based ED and SW algorithms, which are constructed with billions of garbled gates, on a contemporary GPU card GTX-680, with very little waste of processing cycles or memory space. For PSI and SH protocols and underlying ECC algorithms, the analysis in this research shows that the conventional Montgomery-based number system is more friendly to the GPU architecture than the Residue Number System (RNS) is. Analysis on experiment results further shows that the lazy reduction in higher extension fields can have performance benefits only when the GPU architecture has enough fast memory. The resulting Elliptic curve Arithmetic GPU Library (EAGL) can run 3350.9 R-ate (bilinear) pairing/sec, and 47000 point multiplication/sec at the 128-bit security level, on one GTX-680 card. The primary performance bottleneck is found to be lacking of advanced memory management functions in the contemporary GPU architecture for bilinear pairing operations. Substantial performance gain can be expected when the on-chip memory size and/or more advanced memory prefetching mechanisms are supported in future generations of GPUs. Advisors/Committee Members: Liu, Jyh-charn (advisor).

Subjects/Keywords: Privacy-preserving computing

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APA (6^th Edition):

Pu, S. (2013). GPU-based Parallel Computing Models and Implementations for Two-party Privacy-preserving Protocols. (Thesis). Texas Digital Library. Retrieved from http://hdl.handle.net/1969; http://hdl.handle.net/2249.1/66738

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Chicago Manual of Style (16^th Edition):

Pu, Shi. “GPU-based Parallel Computing Models and Implementations for Two-party Privacy-preserving Protocols.” 2013. Thesis, Texas Digital Library. Accessed January 19, 2021. http://hdl.handle.net/1969; http://hdl.handle.net/2249.1/66738.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

MLA Handbook (7^th Edition):

Pu, Shi. “GPU-based Parallel Computing Models and Implementations for Two-party Privacy-preserving Protocols.” 2013. Web. 19 Jan 2021.

Vancouver:

Pu S. GPU-based Parallel Computing Models and Implementations for Two-party Privacy-preserving Protocols. [Internet] [Thesis]. Texas Digital Library; 2013. [cited 2021 Jan 19]. Available from: http://hdl.handle.net/1969; http://hdl.handle.net/2249.1/66738.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Council of Science Editors:

Pu S. GPU-based Parallel Computing Models and Implementations for Two-party Privacy-preserving Protocols. [Thesis]. Texas Digital Library; 2013. Available from: http://hdl.handle.net/1969; http://hdl.handle.net/2249.1/66738

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Leiden University

27. Wegewijs, L. Privacy, Politics and the Fourth Estate.

Degree: 2014, Leiden University

URL: http://hdl.handle.net/1887/31824

► This thesis compares the use of frames in newspaper articles and parliamentary documents with regard to privacy related events. The objectives are to clarify framing… (more)

▼ This thesis compares the use of frames in newspaper articles and parliamentary documents with regard to privacy related events. The objectives are to clarify framing dynamics between Dutch media and parliament, as well as to answer privacy-issue specific questions with regard to framing. Based on two major events demarcating the research period – i.e., the 2001 World Trade Center attacks and Edward Snowden’s NSA revelations mid 2013 – it is hypothesized that the way state authorities are framed changes over time from ensuring security towards violating privacy. Furthermore it is hypothesized that changes in privacy frames correspond between similar events and differ between distinct clusters of events. Finally, the ‘who-follows-who question’ is treated by means of a ‘lead/lag’ model that compares framing overlap between newspaper articles and parliamentary documents. The data used to achieve both objectives are acquired by coding two Dutch national newspapers (Telegraaf and Volkskrant) and written questions from Dutch parliament for the period between January 1999 and March 2014. Researching this particular period enables to assess the expected dynamics between both arenas between above mentioned landslide events. The data suggest that the expected changes in the way state authorities are frames is absent. The ‘lead/lag model suggests that on average media are leading parliament with regard to framing privacy related events. The data furthermore suggests no over-time shift in influence from one arena to the other. Unfortunately, the lead/lag model, as well as the long-term frame dynamics, provides only rough indicators for answering the research questions and assessing the set hypotheses. Therefore, the provided insights are only tentative and ask for further research, so as to deepen understanding about privacy frames and framing dynamics between media and parliament even further. Advisors/Committee Members: Meffert, Dr. M.F (advisor), Tromble, Dr. R.K (advisor).

Subjects/Keywords: Media; Framing; Privacy

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APA (6^th Edition):

Wegewijs, L. (2014). Privacy, Politics and the Fourth Estate. (Masters Thesis). Leiden University. Retrieved from http://hdl.handle.net/1887/31824

Chicago Manual of Style (16^th Edition):

Wegewijs, L. “Privacy, Politics and the Fourth Estate.” 2014. Masters Thesis, Leiden University. Accessed January 19, 2021. http://hdl.handle.net/1887/31824.

MLA Handbook (7^th Edition):

Wegewijs, L. “Privacy, Politics and the Fourth Estate.” 2014. Web. 19 Jan 2021.

Vancouver:

Wegewijs L. Privacy, Politics and the Fourth Estate. [Internet] [Masters thesis]. Leiden University; 2014. [cited 2021 Jan 19]. Available from: http://hdl.handle.net/1887/31824.

Council of Science Editors:

Wegewijs L. Privacy, Politics and the Fourth Estate. [Masters Thesis]. Leiden University; 2014. Available from: http://hdl.handle.net/1887/31824

Leiden University

28. van der Heyden, Nathan. Can Privacy Survive in the Digital Age.

Degree: 2020, Leiden University

URL: http://hdl.handle.net/1887/123191

This thesis will argue that our current conception of privacy is insufficient to properly survive the threats posed by technological innovation in modern society. Advisors/Committee Members: Sleutels, Jan (advisor).

Subjects/Keywords: technology; privacy; data

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APA (6^th Edition):

van der Heyden, N. (2020). Can Privacy Survive in the Digital Age. (Masters Thesis). Leiden University. Retrieved from http://hdl.handle.net/1887/123191

Chicago Manual of Style (16^th Edition):

van der Heyden, Nathan. “Can Privacy Survive in the Digital Age.” 2020. Masters Thesis, Leiden University. Accessed January 19, 2021. http://hdl.handle.net/1887/123191.

MLA Handbook (7^th Edition):

van der Heyden, Nathan. “Can Privacy Survive in the Digital Age.” 2020. Web. 19 Jan 2021.

Vancouver:

van der Heyden N. Can Privacy Survive in the Digital Age. [Internet] [Masters thesis]. Leiden University; 2020. [cited 2021 Jan 19]. Available from: http://hdl.handle.net/1887/123191.

Council of Science Editors:

van der Heyden N. Can Privacy Survive in the Digital Age. [Masters Thesis]. Leiden University; 2020. Available from: http://hdl.handle.net/1887/123191

University of Waterloo

29. He, Miao. Privacy-Preserving Multi-Quality Charging in V2G network.

Degree: 2014, University of Waterloo

URL: http://hdl.handle.net/10012/8426

► Vehicle-to-grid (V2G) network, which provides electricity charging service to the electric vehicles (EVs), is an essential part of the smart grid (SG). It can not… (more)

▼ Vehicle-to-grid (V2G) network, which provides electricity charging service to the electric vehicles (EVs), is an essential part of the smart grid (SG). It can not only effectively reduce the greenhouse gas emission but also significantly enhance the efficiency of the power grid. Due to the limitation of the local electricity resource, the quality of charging service can be hardly guaranteed for every EV in V2G network. To this end, the multi-quality charging is introduced to provide quality-guaranteed service (QGS) to the qualified EVs and best effort service (BES) to the other EVs. To perform the multi-quality charging, the evaluation on the EV's attributes is necessary to determine which level of charging service can be offered to the EV. However, the EV owner's privacy such as real identity, lifestyle, location, and sensitive information in the attributes may be violated during the evaluation and authentication. In this thesis, a privacy-preserving multi-quality charging (PMQC) scheme for V2G network is proposed to evaluate the EV's attributes, authenticate its service eligibility and generate its bill without revealing the EV's private information. Specifically, by adopting ciphertext-policy attribute based encryption (CP-ABE), the EV can be evaluated to have proper charging service without disclosing its attribute privacy. By utilizing group signature, the EV's real identity is kept confidential during the authentication and the bill generation. By hiding the EV's real identity, the EV owner's lifestyle privacy and location privacy are also preserved. Security analysis demonstrates that PMQC can achieve the EV's privacy preservation, fine-grained access control on the EVs for QGS, traceability of the EV's real identity and secure revocation on the EV's service eligibility. Performance evaluation result shows that PMQC can achieve higher efficiency in authentication and verification compared with other schemes in terms of computation overhead. Based on PMQC, the EV's computation overhead and storage overhead can be further reduced in the extended privacy-preserving multi-quality charging (ePMQC) scheme.

Subjects/Keywords: V2G; Privacy-Preserving

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APA · Chicago · MLA · Vancouver · CSE | Export to Zotero / EndNote / Reference Manager

APA (6^th Edition):

He, M. (2014). Privacy-Preserving Multi-Quality Charging in V2G network. (Thesis). University of Waterloo. Retrieved from http://hdl.handle.net/10012/8426

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Chicago Manual of Style (16^th Edition):

He, Miao. “Privacy-Preserving Multi-Quality Charging in V2G network.” 2014. Thesis, University of Waterloo. Accessed January 19, 2021. http://hdl.handle.net/10012/8426.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

MLA Handbook (7^th Edition):

He, Miao. “Privacy-Preserving Multi-Quality Charging in V2G network.” 2014. Web. 19 Jan 2021.

Vancouver:

He M. Privacy-Preserving Multi-Quality Charging in V2G network. [Internet] [Thesis]. University of Waterloo; 2014. [cited 2021 Jan 19]. Available from: http://hdl.handle.net/10012/8426.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Council of Science Editors:

He M. Privacy-Preserving Multi-Quality Charging in V2G network. [Thesis]. University of Waterloo; 2014. Available from: http://hdl.handle.net/10012/8426

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

30. Thomas, Bruce. A legal framework for sharing customs intelligence through the single window system.

Degree: 2018, Victoria U of Wellington : Dissertations

URL: http://hdl.handle.net/10063/7719

► Some customs agencies are implementing electronic single window systems. These single window systems enable an importer or exporter to digitally transmit their transaction information to… (more)

Subjects/Keywords: intelligence; privacy; transparency

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APA · Chicago · MLA · Vancouver · CSE | Export to Zotero / EndNote / Reference Manager

APA (6^th Edition):

Thomas, B. (2018). A legal framework for sharing customs intelligence through the single window system. (Doctoral Dissertation). Victoria U of Wellington : Dissertations. Retrieved from http://hdl.handle.net/10063/7719

Chicago Manual of Style (16^th Edition):

Thomas, Bruce. “A legal framework for sharing customs intelligence through the single window system.” 2018. Doctoral Dissertation, Victoria U of Wellington : Dissertations. Accessed January 19, 2021. http://hdl.handle.net/10063/7719.

MLA Handbook (7^th Edition):

Thomas, Bruce. “A legal framework for sharing customs intelligence through the single window system.” 2018. Web. 19 Jan 2021.

Vancouver:

Thomas B. A legal framework for sharing customs intelligence through the single window system. [Internet] [Doctoral dissertation]. Victoria U of Wellington : Dissertations; 2018. [cited 2021 Jan 19]. Available from: http://hdl.handle.net/10063/7719.

Council of Science Editors:

Thomas B. A legal framework for sharing customs intelligence through the single window system. [Doctoral Dissertation]. Victoria U of Wellington : Dissertations; 2018. Available from: http://hdl.handle.net/10063/7719

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Open Access Theses and Dissertations