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Privacy Risk Analysis of Online Social Networks

Privacy Risk Analysis of Online Social Networks PDF Author: Sourya Joyee De
Publisher: Springer Nature
ISBN: 3031023552
Category : Computers
Languages : en
Pages : 95

Book Description
The social benefit derived from Online Social Networks (OSNs) can lure users to reveal unprecedented volumes of personal data to an online audience that is much less trustworthy than their offline social circle. Even if a user hides his personal data from some users and shares with others, privacy settings of OSNs may be bypassed, thus leading to various privacy harms such as identity theft, stalking, or discrimination. Therefore, users need to be assisted in understanding the privacy risks of their OSN profiles as well as managing their privacy settings so as to keep such risks in check, while still deriving the benefits of social network participation. This book presents to its readers how privacy risk analysis concepts such as privacy harms and risk sources can be used to develop mechanisms for privacy scoring of user profiles and for supporting users in privacy settings management in the context of OSNs. Privacy scoring helps detect and minimize the risks due to the dissemination and use of personal data. The book also discusses many open problems in this area to encourage further research.

Privacy Risk Analysis of Online Social Networks

Privacy Risk Analysis of Online Social Networks PDF Author: Sourya Joyee De
Publisher: Springer Nature
ISBN: 3031023552
Category : Computers
Languages : en
Pages : 95

Book Description
The social benefit derived from Online Social Networks (OSNs) can lure users to reveal unprecedented volumes of personal data to an online audience that is much less trustworthy than their offline social circle. Even if a user hides his personal data from some users and shares with others, privacy settings of OSNs may be bypassed, thus leading to various privacy harms such as identity theft, stalking, or discrimination. Therefore, users need to be assisted in understanding the privacy risks of their OSN profiles as well as managing their privacy settings so as to keep such risks in check, while still deriving the benefits of social network participation. This book presents to its readers how privacy risk analysis concepts such as privacy harms and risk sources can be used to develop mechanisms for privacy scoring of user profiles and for supporting users in privacy settings management in the context of OSNs. Privacy scoring helps detect and minimize the risks due to the dissemination and use of personal data. The book also discusses many open problems in this area to encourage further research.

Security and Privacy in Social Networks

Security and Privacy in Social Networks PDF Author: Yaniv Altshuler
Publisher: Springer Science & Business Media
ISBN: 1461441390
Category : Computers
Languages : en
Pages : 254

Book Description
Security and Privacy in Social Networks brings to the forefront innovative approaches for analyzing and enhancing the security and privacy dimensions in online social networks, and is the first comprehensive attempt dedicated entirely to this field. In order to facilitate the transition of such methods from theory to mechanisms designed and deployed in existing online social networking services, the book aspires to create a common language between the researchers and practitioners of this new area- spanning from the theory of computational social sciences to conventional security and network engineering.

Risks and Security of Internet and Systems

Risks and Security of Internet and Systems PDF Author: Nora Cuppens
Publisher: Springer
ISBN: 3319766872
Category : Computers
Languages : en
Pages : 269

Book Description
This book constitutes the revised selected papers from the 12th International Conference on Risk and Security of Internet and Systems, CRISIS 2017, held in Dinard, France, in September 2017.The 12 full papers and 5 short papers presented in this volume were carefully reviewed and selected from 42 submissions. They cover diverse research themes, ranging from classic topics, such as vulnerability analysis and classification; apps security; access control and filtering; cloud security; cyber-insurance and cyber threat intelligence; human-centric security and trust; and risk analysis.

Privacy Risk Analysis

Privacy Risk Analysis PDF Author: Sourya Joyee De
Publisher: Springer Nature
ISBN: 3031023498
Category : Computers
Languages : en
Pages : 117

Book Description
Privacy Risk Analysis fills a gap in the existing literature by providing an introduction to the basic notions, requirements, and main steps of conducting a privacy risk analysis. The deployment of new information technologies can lead to significant privacy risks and a privacy impact assessment should be conducted before designing a product or system that processes personal data. However, if existing privacy impact assessment frameworks and guidelines provide a good deal of details on organizational aspects (including budget allocation, resource allocation, stakeholder consultation, etc.), they are much vaguer on the technical part, in particular on the actual risk assessment task. For privacy impact assessments to keep up their promises and really play a decisive role in enhancing privacy protection, they should be more precise with regard to these technical aspects. This book is an excellent resource for anyone developing and/or currently running a risk analysis as it defines the notions of personal data, stakeholders, risk sources, feared events, and privacy harms all while showing how these notions are used in the risk analysis process. It includes a running smart grids example to illustrate all the notions discussed in the book.

Big Data and Security

Big Data and Security PDF Author: Yuan Tian
Publisher: Springer Nature
ISBN: 9819933005
Category : Computers
Languages : en
Pages : 759

Book Description
This book constitutes the refereed proceedings of the 4th International Conference on Big Data and Security, ICBDS 2022, held in Xiamen, China, during December 8–12, 2022. The 51 full papers and 3 short papers included in this book were carefully reviewed and selected from 211 submissions. They were organized in topical sections as follows: answer set programming; big data and new method; intelligence and machine learning security; data technology and network security; sybersecurity and privacy; IoT security.

Article Collection on Human Aspects in Adaptive and Personalized Interactive Environments (HAAPIE)

Article Collection on Human Aspects in Adaptive and Personalized Interactive Environments (HAAPIE) PDF Author: Vania Gatseva Dimitrova
Publisher: Frontiers Media SA
ISBN: 2889663752
Category : Science
Languages : en
Pages : 155

Book Description


Social Networks: Analysis and Case Studies

Social Networks: Analysis and Case Studies PDF Author: Şule Gündüz-Öğüdücü
Publisher: Springer
ISBN: 3709117976
Category : Computers
Languages : en
Pages : 249

Book Description
The present volume provides a comprehensive resource for practitioners and researchers alike-both those new to the field as well as those who already have some experience. The work covers Social Network Analysis theory and methods with a focus on current applications and case studies applied in various domains such as mobile networks, security, machine learning and health. With the increasing popularity of Web 2.0, social media has become a widely used communication platform. Parallel to this development, Social Network Analysis gained in importance as a research field, while opening up many opportunities in different application domains. Forming a bridge between theory and applications makes this work appealing to both academics and practitioners as well as graduate students.

Personal Analytics and Privacy. An Individual and Collective Perspective

Personal Analytics and Privacy. An Individual and Collective Perspective PDF Author: Riccardo Guidotti
Publisher: Springer
ISBN: 331971970X
Category : Computers
Languages : en
Pages : 159

Book Description
This book constitutes the thoroughly refereed post-conference proceedings of the First International Workshop on Personal Analytics and Privacy, PAP 2017, held in Skopje, Macedonia, in September 2017. The 14 papers presented together with 2 invited talks in this volume were carefully reviewed and selected for inclusion in this book and handle topics such as personal analytics, personal data mining and privacy in the context where real individual data are used for developing a data-driven service, for realizing a social study aimed at understanding nowadays society, and for publication purposes.

Computers, Privacy and Data Protection: an Element of Choice

Computers, Privacy and Data Protection: an Element of Choice PDF Author: Serge Gutwirth
Publisher: Springer Science & Business Media
ISBN: 9400706413
Category : Law
Languages : en
Pages : 457

Book Description
This timely interdisciplinary work on current developments in ICT and privacy/data protection, coincides as it does with the rethinking of the Data Protection Directive, the contentious debates on data sharing with the USA (SWIFT, PNR) and the judicial and political resistance against data retention. The authors of the contributions focus on particular and pertinent issues from the perspective of their different disciplines which range from the legal through sociology, surveillance studies and technology assessment, to computer sciences. Such issues include cutting-edge developments in the field of cloud computing, ambient intelligence and PETs; data retention, PNR-agreements, property in personal data and the right to personal identity; electronic road tolling, HIV-related information, criminal records and teenager's online conduct, to name but a few.

Privacy in Social Networks

Privacy in Social Networks PDF Author: Elena Zheleva
Publisher: Morgan & Claypool Publishers
ISBN: 1608458628
Category : Computers
Languages : en
Pages : 88

Book Description
This synthesis lecture provides a survey of work on privacy in online social networks (OSNs). This work encompasses concerns of users as well as service providers and third parties. Our goal is to approach such concerns from a computer-science perspective, and building upon existing work on privacy, security, statistical modeling and databases to provide an overview of the technical and algorithmic issues related to privacy in OSNs. We start our survey by introducing a simple OSN data model and describe common statistical-inference techniques that can be used to infer potentially sensitive information. Next, we describe some privacy definitions and privacy mechanisms for data publishing. Finally, we describe a set of recent techniques for modeling, evaluating, and managing individual users' privacy risk within the context of OSNs. Table of Contents: Introduction / A Model for Online Social Networks / Types of Privacy Disclosure / Statistical Methods for Inferring Information in Networks / Anonymity and Differential Privacy / Attacks and Privacy-preserving Mechanisms / Models of Information Sharing / Users' Privacy Risk / Management of Privacy Settings