Overview
Part of the book series: Synthesis Lectures on Information Security, Privacy, and Trust (SLISPT)
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About this book
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.
Table of contents (9 chapters)
Authors and Affiliations
About the authors
Bibliographic Information
Book Title: Privacy Risk Analysis of Online Social Networks
Authors: Sourya Joyee De, Abdessamad Imine
Series Title: Synthesis Lectures on Information Security, Privacy, and Trust
DOI: https://doi.org/10.1007/978-3-031-02355-2
Publisher: Springer Cham
eBook Packages: Synthesis Collection of Technology (R0), eBColl Synthesis Collection 10
Copyright Information: Springer Nature Switzerland AG 2021
Softcover ISBN: 978-3-031-01227-3Published: 24 October 2017
eBook ISBN: 978-3-031-02355-2Published: 01 June 2022
Series ISSN: 1945-9742
Series E-ISSN: 1945-9750
Edition Number: 1
Number of Pages: XIII, 95
Topics: Systems and Data Security