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Relevant bibliographies by topics / Data security and Data privacy / Dissertations / Theses

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Dissertations / Theses on the topic 'Data security and Data privacy'

Author: Grafiati

Published: 1 June 2024

Last updated: 31 July 2025

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1

DeYoung, Mark E. "Privacy Preserving Network Security Data Analytics." Diss., Virginia Tech, 2018. http://hdl.handle.net/10919/82909.

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The problem of revealing accurate statistics about a population while maintaining privacy of individuals is extensively studied in several related disciplines. Statisticians, information security experts, and computational theory researchers, to name a few, have produced extensive bodies of work regarding privacy preservation. Still the need to improve our ability to control the dissemination of potentially private information is driven home by an incessant rhythm of data breaches, data leaks, and privacy exposure. History has shown that both public and private sector organizations are no

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2

Ma, Jianjie. "Learning from perturbed data for privacy-preserving data mining." Online access for everyone, 2006. http://www.dissertations.wsu.edu/Dissertations/Summer2006/j%5Fma%5F080406.pdf.

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3

Huang, Xueli. "Achieving Data Privacy and Security in Cloud." Diss., Temple University Libraries, 2016. http://cdm16002.contentdm.oclc.org/cdm/ref/collection/p245801coll10/id/372805.

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Computer and Information Science<br>Ph.D.<br>The growing concerns in term of the privacy of data stored in public cloud have restrained the widespread adoption of cloud computing. The traditional method to protect the data privacy is to encrypt data before they are sent to public cloud, but heavy computation is always introduced by this approach, especially for the image and video data, which has much more amount of data than text data. Another way is to take advantage of hybrid cloud by separating the sensitive data from non-sensitive data and storing them in trusted private cloud and un-trus

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4

Molema, Karabo Omphile. "The conflict of interest between data sharing and data privacy : a middleware approach." Thesis, Cape Peninsula University of Technology, 2016. http://hdl.handle.net/20.500.11838/2415.

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Thesis (MTech (Information Technology))--Cape Peninsula University of Technology, 2016.<br>People who are referred to as data owners in this study, use the Internet for various purposes and one of those is using online services like Gmail, Facebook, Twitter and so on. These online services are offered by organizations which are referred to as data controllers. When data owners use these service provided by data controllers they usually have to agree to the terms and conditions which gives data controllers indemnity against any privacy issues that may be raised by the data owner. Data

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5

Nan, Lihao. "Privacy Preserving Representation Learning For Complex Data." Thesis, The University of Sydney, 2019. http://hdl.handle.net/2123/20662.

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Here we consider a common data encryption problem encountered by users who want to disclose some data to gain utility but preserve their private information. Specifically, we consider the inference attack, in which an adversary conducts inference on the disclosed data to gain information about users' private data. Following privacy funnel \cite{makhdoumi2014information}, assuming that the original data $X$ is transformed into $Z$ before disclosing and the log loss is used for both privacy and utility metrics, then the problem can be modeled as finding a mapping $X \rightarrow Z$ that maximizes

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6

Smith, Tanshanika Turner. "Examining Data Privacy Breaches in Healthcare." ScholarWorks, 2016. https://scholarworks.waldenu.edu/dissertations/2623.

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Healthcare data can contain sensitive, personal, and confidential information that should remain secure. Despite the efforts to protect patient data, security breaches occur and may result in fraud, identity theft, and other damages. Grounded in the theoretical backdrop of integrated system theory, the purpose of this study was to determine the association between data privacy breaches, data storage locations, business associates, covered entities, and number of individuals affected. Study data consisted of secondary breach information retrieved from the Department of Health and Human Services

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7

Wernberg, Max. "Security and Privacy of Controller Pilot Data Link Communication." Thesis, Linköpings universitet, Kommunikations- och transportsystem, 2018. http://urn.kb.se/resolve?urn=urn:nbn:se:liu:diva-156337.

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Newly implemented technologies within the aviation lack, according to recent studies, built in security measures to protect them against outside interference. In this thesis we study the security and privacy status of the digital wireless Controller Pilot Data Link Communication (CPDLC) used in air traffic management alongside other systems to increase the safety and traffic capacity of controlled airspaces. The findings show that CPDCL is currently insecure and exposed to attacks. Any solutions to remedy this must adhere to its low levels of performance. Elliptical Curve Cryptography, Protect

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8

Gholami, Ali. "Security and Privacy of Sensitive Data in Cloud Computing." Doctoral thesis, KTH, Parallelldatorcentrum, PDC, 2016. http://urn.kb.se/resolve?urn=urn:nbn:se:kth:diva-186141.

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Cloud computing offers the prospect of on-demand, elastic computing, provided as a utility service, and it is revolutionizing many domains of computing. Compared with earlier methods of processing data, cloud computing environments provide significant benefits, such as the availability of automated tools to assemble, connect, configure and reconfigure virtualized resources on demand. These make it much easier to meet organizational goals as organizations can easily deploy cloud services. However, the shift in paradigm that accompanies the adoption of cloud computing is increasingly giving rise

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9

Mai, Guangcan. "Biometric system security and privacy: data reconstruction and template protection." HKBU Institutional Repository, 2018. https://repository.hkbu.edu.hk/etd_oa/544.

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Biometric systems are being increasingly used, from daily entertainment to critical applications such as security access and identity management. It is known that biometric systems should meet the stringent requirement of low error rate. In addition, for critical applications, the security and privacy issues of biometric systems are required to be concerned. Otherwise, severe consequence such as the unauthorized access (security) or the exposure of identity-related information (privacy) can be caused. Therefore, it is imperative to study the vulnerability to potential attacks and identify the

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10

Liu, Lian. "PRIVACY PRESERVING DATA MINING FOR NUMERICAL MATRICES, SOCIAL NETWORKS, AND BIG DATA." UKnowledge, 2015. http://uknowledge.uky.edu/cs_etds/31.

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Motivated by increasing public awareness of possible abuse of confidential information, which is considered as a significant hindrance to the development of e-society, medical and financial markets, a privacy preserving data mining framework is presented so that data owners can carefully process data in order to preserve confidential information and guarantee information functionality within an acceptable boundary. First, among many privacy-preserving methodologies, as a group of popular techniques for achieving a balance between data utility and information privacy, a class of data perturbati

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11

Scheffler, Thomas. "Privacy enforcement with data owner-defined policies." Phd thesis, Universität Potsdam, 2013. http://opus.kobv.de/ubp/volltexte/2013/6793/.

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This thesis proposes a privacy protection framework for the controlled distribution and use of personal private data. The framework is based on the idea that privacy policies can be set directly by the data owner and can be automatically enforced against the data user. Data privacy continues to be a very important topic, as our dependency on electronic communication maintains its current growth, and private data is shared between multiple devices, users and locations. The growing amount and the ubiquitous availability of personal private data increases the likelihood of data misuse. Early pr

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12

Kong, Yibing. "Security and privacy model for association databases." Access electronically, 2003. http://www.library.uow.edu.au/adt-NWU/public/adt-NWU20031126.142250/index.html.

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13

Wang, Jie. "MATRIX DECOMPOSITION FOR DATA DISCLOSURE CONTROL AND DATA MINING APPLICATIONS." UKnowledge, 2008. http://uknowledge.uky.edu/gradschool_diss/677.

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Access to huge amounts of various data with private information brings out a dual demand for preservation of data privacy and correctness of knowledge discovery, which are two apparently contradictory tasks. Low-rank approximations generated by matrix decompositions are a fundamental element in this dissertation for the privacy preserving data mining (PPDM) applications. Two categories of PPDM are studied: data value hiding (DVH) and data pattern hiding (DPH). A matrix-decomposition-based framework is designed to incorporate matrix decomposition techniques into data preprocessing to distort or

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14

Burkhart, Martin [Verfasser]. "Enabling Collaborative Network Security with Privacy-Preserving Data Aggregation / Martin Burkhart." Aachen : Shaker, 2011. http://d-nb.info/1071528394/34.

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15

Cui, Yingjie, and 崔英杰. "A study on privacy-preserving clustering." Thesis, The University of Hong Kong (Pokfulam, Hong Kong), 2009. http://hub.hku.hk/bib/B4357225X.

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16

Garcia, Arturo, Luis Calle, Carlos Raymundo, Francisco Dominguez, and Javier M. Moguerza. "Personal data protection maturity model for the micro financial sector in Peru." Institute of Electrical and Electronics Engineers Inc, 2018. http://hdl.handle.net/10757/624636.

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El texto completo de este trabajo no está disponible en el Repositorio Académico UPC por restricciones de la casa editorial donde ha sido publicado.<br>The micro financial sector is a strategic element in the economy of developing countries since it facilitates the integration and development of all social classes and let the economic growth. In this point is the growth of data is high every day in sector like the micro financial, resulting from transactions and operations carried out with these companies on a daily basis. Appropriate management of the personal data privacy policies is therefo

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17

Hu, Jun. "Privacy-Preserving Data Integration in Public Health Surveillance." Thèse, Université d'Ottawa / University of Ottawa, 2011. http://hdl.handle.net/10393/19994.

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With widespread use of the Internet, data is often shared between organizations in B2B health care networks. Integrating data across all sources in a health care network would be useful to public health surveillance and provide a complete view of how the overall network is performing. Because of the lack of standardization for a common data model across organizations, matching identities between different locations in order to link and aggregate records is difficult. Moreover, privacy legislation controls the use of personal information, and health care data is very sensitive in nature so the

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18

Mustafa, Mustafa Asan. "Smart Grid security : protecting users' privacy in smart grid applications." Thesis, University of Manchester, 2015. https://www.research.manchester.ac.uk/portal/en/theses/smart-grid-security-protecting-users-privacy-in-smart-grid-applications(565d4c36-8c83-4848-a142-a6ff70868d93).html.

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Smart Grid (SG) is an electrical grid enhanced with information and communication technology capabilities, so it can support two-way electricity and communication flows among various entities in the grid. The aim of SG is to make the electricity industry operate more efficiently and to provide electricity in a more secure, reliable and sustainable manner. Automated Meter Reading (AMR) and Smart Electric Vehicle (SEV) charging are two SG applications tipped to play a major role in achieving this aim. The AMR application allows different SG entities to collect users’ fine-grained metering data m

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19

Zhang, Kaijin ZHANG. "Efficiency and security in data-driven applications." Case Western Reserve University School of Graduate Studies / OhioLINK, 2018. http://rave.ohiolink.edu/etdc/view?acc_num=case1522443817978176.

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20

Ji, Shouling. "Evaluating the security of anonymized big graph/structural data." Diss., Georgia Institute of Technology, 2015. http://hdl.handle.net/1853/54913.

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We studied the security of anonymized big graph data. Our main contributions include: new De-Anonymization (DA) attacks, comprehensive anonymity, utility, and de-anonymizability quantifications, and a secure graph data publishing/sharing system SecGraph. New DA Attacks. We present two novel graph DA frameworks: cold start single-phase Optimization-based DA (ODA) and De-anonymizing Social-Attribute Graphs (De-SAG). Unlike existing seed-based DA attacks, ODA does not priori knowledge. In addition, ODA’s DA results can facilitate existing DA attacks by providing more seed information. De-SAG is t

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21

Wang, Xiwei. "Data Privacy Preservation in Collaborative Filtering Based Recommender Systems." UKnowledge, 2015. http://uknowledge.uky.edu/cs_etds/35.

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This dissertation studies data privacy preservation in collaborative filtering based recommender systems and proposes several collaborative filtering models that aim at preserving user privacy from different perspectives. The empirical study on multiple classical recommendation algorithms presents the basic idea of the models and explores their performance on real world datasets. The algorithms that are investigated in this study include a popularity based model, an item similarity based model, a singular value decomposition based model, and a bipartite graph model. Top-N recommendations are e

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Basciftci, Yuksel O. Basciftci. "Private and Secure Data Communication: Information Theoretic Approach." The Ohio State University, 2016. http://rave.ohiolink.edu/etdc/view?acc_num=osu1469137249.

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23

Möller, Carolin. "The evolution of data protection and privacy in the public security context : an institutional analysis of three EU data retention and access regimes." Thesis, Queen Mary, University of London, 2017. http://qmro.qmul.ac.uk/xmlui/handle/123456789/25911.

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Since nearly two decades threats to public security through events such as 9/11, the Madrid (2004) and London (2005) bombings and more recently the Paris attacks (2015) resulted in the adoption of a plethora of national and EU measures aiming at fighting terrorism and serious crime. In addition, the Snowden revelations brought the privacy and data protection implications of these public security measures into the spotlight. In this highly contentious context, three EU data retention and access measures have been introduced for the purpose of fighting serious crime and terrorism: The Data Reten

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24

Dambra, Savino. "Data-driven risk quantification for proactive security." Electronic Thesis or Diss., Sorbonne université, 2021. http://www.theses.fr/2021SORUS356.

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La faisabilité et l'efficacité des mesures proactives dépendent d'une cascade de défis: comment quantifier les cyber-risques d'une entité, quels indicateurs peuvent être utilisés pour les prédire, et de quelles sources de données peuvent-ils être extraits? Dans cette thèse, nous énumérons les défis auxquels les praticiens et les chercheurs sont confrontés lorsqu'ils tentent de quantifier les cyber-risques et nous les examinons dans le domaine émergent de la cyber-assurance. Nous évaluons ensuite l'incidence de différentes mesures et postures de sécurité sur les risques d'infection par des logi

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25

Melis, Andrea. "Data sanitization in a clearing system for public transport operators." Master's thesis, Alma Mater Studiorum - Università di Bologna, 2014. http://amslaurea.unibo.it/7248/.

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In this work we will discuss about a project started by the Emilia-Romagna Regional Government regarding the manage of the public transport. In particular we will perform a data mining analysis on the data-set of this project. After introducing the Weka software used to make our analysis, we will discover the most useful data mining techniques and algorithms; and we will show how these results can be used to violate the privacy of the same public transport operators. At the end, despite is off topic of this work, we will spend also a few words about how it's possible to prevent this kind of

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Ophoff, Jacobus Albertus. "WSP3: a web service model for personal privacy protection." Thesis, Port Elizabeth Technikon, 2003. http://hdl.handle.net/10948/272.

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The prevalent use of the Internet not only brings with it numerous advantages, but also some drawbacks. The biggest of these problems is the threat to the individual’s personal privacy. This privacy issue is playing a growing role with respect to technological advancements. While new service-based technologies are considerably increasing the scope of information flow, the cost is a loss of control over personal information and therefore privacy. Existing privacy protection measures might fail to provide effective privacy protection in these new environments. This dissertation focuses on the us

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Parameswaran, Rupa. "A Robust Data Obfuscation Technique for Privacy Preserving Collaborative Filtering." Diss., Georgia Institute of Technology, 2006. http://hdl.handle.net/1853/11459.

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Privacy is defined as the freedom from unauthorized intrusion. The availability of personal information through online databases, such as government records, medical records, and voters and #146; lists, pose a threat to personal privacy. The concern over individual privacy has led to the development of legal codes for safeguarding privacy in several countries. However, the ignorance of individuals as well as loopholes in the systems, have led to information breaches even in the presence of such rules and regulations. Protection against data privacy requires modification of the data itself. The

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Thilakanathan, Danan. "Secure Data Sharing and Collaboration in the Cloud." Thesis, The University of Sydney, 2015. http://hdl.handle.net/2123/15164.

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Cloud technology can be leveraged to enable data-sharing capabilities, which can benefit the user through greater productivity and efficiency. However, the Cloud is susceptible to many privacy and security vulnerabilities, which hinders the progress and widescale adoption of data sharing for the purposes of collaboration. Thus, there is a strong demand for data owners to not only ensure that their data is kept private and secure in the Cloud, but to also have a degree of control over their own data contents once they are shared with data consumers. Specifically, the main issues for data shari

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Michel, Axel. "Personalising privacy contraints in Generalization-based Anonymization Models." Thesis, Bourges, INSA Centre Val de Loire, 2019. http://www.theses.fr/2019ISAB0001/document.

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Les bénéfices engendrés par les études statistiques sur les données personnelles des individus sont nombreux, que ce soit dans le médical, l'énergie ou la gestion du trafic urbain pour n'en citer que quelques-uns. Les initiatives publiques de smart-disclosure et d'ouverture des données rendent ces études statistiques indispensables pour les institutions et industries tout autour du globe. Cependant, ces calculs peuvent exposer les données personnelles des individus, portant ainsi atteinte à leur vie privée. Les individus sont alors de plus en plus réticent à participer à des études statistique

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Miles, Shaun Graeme. "An investigation of issues of privacy, anonymity and multi-factor authentication in an open environment." Thesis, Rhodes University, 2012. http://hdl.handle.net/10962/d1006653.

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This thesis performs an investigation into issues concerning the broad area ofIdentity and Access Management, with a focus on open environments. Through literature research the issues of privacy, anonymity and access control are identified. The issue of privacy is an inherent problem due to the nature of the digital network environment. Information can be duplicated and modified regardless of the wishes and intentions ofthe owner of that information unless proper measures are taken to secure the environment. Once information is published or divulged on the network, there is very little way of

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Lee, Kum-Yu Enid. "Privacy and security of an intelligent office form." Thesis, Kansas State University, 1986. http://hdl.handle.net/2097/9930.

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32

Ziegeldorf, Jan Henrik [Verfasser]. "Designing Digital Services with Cryptographic Guarantees for Data Security and Privacy / Jan Henrik Ziegeldorf." Aachen : Shaker, 2018. http://d-nb.info/1159835845/34.

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Kong, Jiantao. "Trusted data path protecting shared data in virtualized distributed systems." Diss., Georgia Institute of Technology, 2010. http://hdl.handle.net/1853/33820.

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When sharing data across multiple sites, service applications should not be trusted automatically. Services that are suspected of faulty, erroneous, or malicious behaviors, or that run on systems that may be compromised, should not be able to gain access to protected data or entrusted with the same data access rights as others. This thesis proposes a context flow model that controls the information flow in a distributed system. Each service application along with its surrounding context in a distributed system is treated as a controllable principal. This thesis defines a trust-based access co

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Jellen, Isabel. "Towards Security and Privacy in Networked Medical Devices and Electronic Healthcare Systems." DigitalCommons@CalPoly, 2020. https://digitalcommons.calpoly.edu/theses/2141.

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E-health is a growing eld which utilizes wireless sensor networks to enable access to effective and efficient healthcare services and provide patient monitoring to enable early detection and treatment of health conditions. Due to the proliferation of e-health systems, security and privacy have become critical issues in preventing data falsification, unauthorized access to the system, or eavesdropping on sensitive health data. Furthermore, due to the intrinsic limitations of many wireless medical devices, including low power and limited computational resources, security and device performance c

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Floderus, Sebastian, and Vincent Tewolde. "Analysing privacy concerns in smartcameras : in correlation with GDPR and Privacy by Design." Thesis, Blekinge Tekniska Högskola, Institutionen för datavetenskap, 2021. http://urn.kb.se/resolve?urn=urn:nbn:se:bth-21980.

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Background. The right to privacy is every persons right, data regulation laws suchas the GDPR and privacy preserving concepts like Privacy by Design (PbD) aid inthis matter. IoT devices are highly vulnerable to attacks because of their limitedstorage and processing capabilities, even more so for internet connected cameras.With the use of security auditing techniques and privacy analysis methods it ispossible to identify security and privacy issues for Internet of Things (IoT) devices. Objectives. The research aims to evaluate three selected IoT cameras’ ability toprotect privacy of their consu

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Shahandashti, Siamak Fayyaz. "Contributions to secure and privacy-preserving use of electronic credentials." School of Computer Science and Software Engineering - Faculty of Informatics, 2009. http://ro.uow.edu.au/theses/3036.

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In this thesis, we make contributions to secure and privacy preserving use of electronic credentials in three different levels.First, we address the case in credential systems where a credential owner wants to show her credential to a verifier without taking the risk that the ability to prove ownership of her credential is transferred to the verifier. We define credential ownership proof protocols for credentials signed by standard signature schemes. We also propose proper security definitions for the protocol, aiming to protect the security of both the credential issuer and the credential own

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Andersen, Adelina. "Exploring Security and Privacy Practices of Home IoT Users." Thesis, KTH, Skolan för elektroteknik och datavetenskap (EECS), 2021. http://urn.kb.se/resolve?urn=urn:nbn:se:kth:diva-303002.

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Internet of Things (IoT) devices are becoming more and more common in homes, making the security and privacy of these increasingly important. Previous research has found that home IoT users can become a threat to themselves if they lack knowledge of their devices and awareness of potential threats. To investigate how the users’ security and privacy practices can be improved, it is necessary to understand the current everyday practices and what impacts these. This is examined in 10 interviews, revealing that the practices are primarily influenced by convenience, motivation and the effort requir

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Carlsson, Nicole. "Vulnerable data interactions — augmenting agency." Thesis, Malmö universitet, Fakulteten för kultur och samhälle (KS), 2018. http://urn.kb.se/resolve?urn=urn:nbn:se:mau:diva-23309.

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This thesis project opens up an interaction design space in the InfoSec domain concerning raising awareness of common vulnerabilities and facilitating counter practices through seamful design.This combination of raising awareness coupled with boosting possibilities for deliberate action (or non-action) together account for augmenting agency. This augmentation takes the form of bottom up micro-movements and daily gestures contributing to opportunities for greater agency in the increasingly fraught InfoSec domain.

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HajYasien, Ahmed. "Preserving Privacy in Association Rule Mining." Thesis, Griffith University, 2007. http://hdl.handle.net/10072/365286.

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With the development and penetration of data mining within different fields and disciplines, security and privacy concerns have emerged. Data mining technology which reveals patterns in large databases could compromise the information that an individual or an organization regards as private. The aim of privacy-preserving data mining is to find the right balance between maximizing analysis results (that are useful for the common good) and keeping the inferences that disclose private information about organizations or individuals at a minimum. In this thesis we present a new classification for p

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Stivanello, Alice <1993&gt. "Strategic Management over Data Privacy and Cyber Security Risk in Smart City and Smart Home." Master's Degree Thesis, Università Ca' Foscari Venezia, 2018. http://hdl.handle.net/10579/12673.

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The world population growth combined with the unprecedented levels of urban density is posing serious challenges for the future of our cities which demand an efficient, effective, and sustainable management of urban infrastructures and resource consumption. Through the integration of information and communication technologies (ICT), the smart city is identified as a ‘system-of-systems’ created to process real-time information exchange at a large-scale and consequently distribute a better life quality to its citizens. Grounded in learning capability and cross-domain interoperability, the embedd

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Alborch, escobar Ferran. "Private Data Analysis over Encrypted Databases : Mixing Functional Encryption with Computational Differential Privacy." Electronic Thesis or Diss., Institut polytechnique de Paris, 2025. http://www.theses.fr/2025IPPAT003.

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Dans l'actuelle société numérique, les données dominent le monde. Associées la plupart du temps à des individus, leur exploitation doit respecter la vie privée de ces derniers. Cette contrainte a donné naissance au paradigme de confidentialité différentielle, qui permet de protéger les individus lors de requêtes sur des bases contenant des données les concernant. Mais avec l'émergence du "cloud computing'', il devient nécessaire de prendre en compte la confidentialité du stockage de ces dernières dans le cloud, en utilisant du chiffrement. Cette thèse étudie comment assurer à la fois la confid

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Åhlfeldt, Rose-Mharie. "Information Security in Distributed Healthcare : Exploring the Needs for Achieving Patient Safety and Patient Privacy." Doctoral thesis, Stockholm University, Department of Computer and Systems Sciences (together with KTH), 2008. http://urn.kb.se/resolve?urn=urn:nbn:se:su:diva-7407.

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<p>In healthcare, patient information is a critical factor. The right information at the right time is a necessity in order to provide the best possible care for a patient. Patient information must also be protected from unauthorized access in order to protect patient privacy. It is furthermore common for patients to visit more than one healthcare provider, which implies a need for cross border healthcare and continuity in the patient process.</p><p>This thesis is focused on information security in healthcare when patient information has to be managed and communicated between various healthcar

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Iwaya, Leonardo H. "Secure and Privacy-aware Data Collection and Processing in Mobile Health Systems." Licentiate thesis, Karlstads universitet, Institutionen för matematik och datavetenskap (from 2013), 2016. http://urn.kb.se/resolve?urn=urn:nbn:se:kau:diva-46982.

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Healthcare systems have assimilated information and communication technologies in order to improve the quality of healthcare and patient's experience at reduced costs. The increasing digitalization of people's health information raises however new threats regarding information security and privacy. Accidental or deliberate data breaches of health data may lead to societal pressures, embarrassment and discrimination. Information security and privacy are paramount to achieve high quality healthcare services, and further, to not harm individuals when providing care. With that in mind, we give spe

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Burdon, Mark. "The conceptual and operational compatibility of data breach notification and information privacy laws." Thesis, Queensland University of Technology, 2011. https://eprints.qut.edu.au/47512/1/Mark_Burdon_Thesis.pdf.

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Mandatory data breach notification laws are a novel and potentially important legal instrument regarding organisational protection of personal information. These laws require organisations that have suffered a data breach involving personal information to notify those persons that may be affected, and potentially government authorities, about the breach. The Australian Law Reform Commission (ALRC) has proposed the creation of a mandatory data breach notification scheme, implemented via amendments to the Privacy Act 1988 (Cth). However, the conceptual differences between data breach notificatio

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Chen, YiQun. "Contributions to privacy preserving with ring signatures." Access electronically, 2006. http://www.library.uow.edu.au/adt-NWU/public/adt-NWU20070104.134826/index.html.

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Banerjea-Brodeur, Nicolas Paul. "Advance passenger information passenger name record : privacy rights and security awareness." Thesis, McGill University, 2003. http://digitool.Library.McGill.CA:80/R/?func=dbin-jump-full&object_id=80909.

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An in-depth study of Advance Passenger Information and Passenger Name Record has never been accomplished prior to the events of September 11 th. It is of great importance to distinguish both of these concepts as they entail different legal consequence. API is to be understood as a data transmission that Border Control Authorities possess in advance in order to facilitate the movements of passengers. It is furthermore imperative that harmonization and inter-operability between States be achieved in order for this system to work. Although the obligations seem to appear for air carriers to

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Giraud, Matthieu. "Secure Distributed MapReduce Protocols : How to have privacy-preserving cloud applications?" Thesis, Université Clermont Auvergne‎ (2017-2020), 2019. http://www.theses.fr/2019CLFAC033/document.

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À l’heure des réseaux sociaux et des objets connectés, de nombreuses et diverses données sont produites à chaque instant. L’analyse de ces données a donné lieu à une nouvelle science nommée "Big Data". Pour traiter du mieux possible ce flux incessant de données, de nouvelles méthodes de calcul ont vu le jour. Les travaux de cette thèse portent sur la cryptographie appliquée au traitement de grands volumes de données, avec comme finalité la protection des données des utilisateurs. En particulier, nous nous intéressons à la sécurisation d’algorithmes utilisant le paradigme de calcul distribué Ma

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Canillas, Rémi. "Privacy and Security in a B2B environment : Focus on Supplier Impersonation Fraud Detection using Data Analysis." Thesis, Lyon, 2020. http://www.theses.fr/2020LYSEI118.

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La fraude au fournisseur (Supplier Impersonation Fraud, SIF) est un type de fraude se produisant dans un contexte Business-to-Business (B2B), où des entreprises et des commerces interagissent entre eux, plutôt qu'avec le consommateur. Une fraude au fournisseur est effectuée lorsqu'une entreprise (fournisseur) proposant des biens ou des services à une autre entreprise (client) a son identité usurpée par un fraudeur. Dans cette thèse, nous proposons, d'utiliser les techniques et outils récents en matière d'apprentissage machine (Machine Learning) afin de résoudre à ces différents points, en élab

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Kolonia, Alexandra, and Rebecka Forsberg. "Preserving Security and Privacy: a WiFi Analyzer Application based on Authentication and Tor." Thesis, KTH, Skolan för elektroteknik och datavetenskap (EECS), 2020. http://urn.kb.se/resolve?urn=urn:nbn:se:kth:diva-281764.

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Numerous mobile applications have the potential to collect and share userspecific information on top of the essential data handling. This is made possible through poor application design and its improper implementation. The lack of security and privacy in an application is of main concern since the spread of sensitive and personal information can cause both physical and emotional harm, if it is being shared with unauthorized people. This thesis investigates how to confidentially transfer user information in such a way that the user remains anonymous and untraceable in a mobile application. In

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Biondi, Alessandro. "Tutela della privacy in Android ed educazione alla mobile privacy." Bachelor's thesis, Alma Mater Studiorum - Università di Bologna, 2022. http://amslaurea.unibo.it/25784/.

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Il progetto di tesi vede come oggetto lo sviluppo di un'applicazione mobile che sia in grado di mitigare la data collection da parte delle app installate nel dispositivo e fornire all'utente gli strumenti per comprendere i meccanismi che adottano le app per raccogliere i propri dati e la gravità che ne comporta. Inoltre, si vuole approfondire la gestione dei dispositivi mobile anche in un contesto aziendale. Negli ultimi anni si ha avuto modo di assistere alle conseguenze spiacievoli causate dalla raccolta di dati e metadata generati dagli utenti di internet e smartphone. Dopo una panoramica d

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