Computational Social Networks: Security and Privacy

ISBN-13: 9781447158158 / Angielski / Miękka / 2014 / 350 str.

Ajith Abraham

Opis

This book is the second of three volumes that illustrate the concept of social networks from a computational point of view. The book contains contributions from a international selection of world-class experts, concentrating on topics relating to security and privacy (the other two volumes review Tools, Perspectives, and Applications, and Mining and Visualization in CSNs). Topics and features: presents the latest advances in security and privacy issues in CSNs, and illustrates how both organizations and individuals can be protected from real-world threats; discusses the design and use of a wide range of computational tools and software for social network analysis; describes simulations of social networks, and the representation and analysis of social networks, with a focus on issues of security, privacy, and anonymization; provides experience reports, survey articles, and intelligence techniques and theories relating to specific problems in network technology.

Spis treści

Part I: Privacy and Trust

Computational Social Networks: Security and Privacy
Mostafa Salama, Mrutyunjaya Panda, Yomna Elbarawy, Aboul Ella Hassanien and Ajith Abraham

Security, Privacy and Trust in Social Networks
Karuppanan Komathy

Blogging Around the Globe: Motivations, Privacy Concerns and Social Networking
Mei Kobayashi

Privacy in Online Social Networks
Michael Beye, Arjan Jeckmans, Zekeriya Erkin, Qiang Tang, Pieter Hartel and Inald Lagendijk

Privacy Settings in Online Social Networks as a Conflict of Interests
Max-R. Ulbricht

A Reliability-Based Metric for Inferring Trust from Recommendations in Knowledge Sharing Networks
Weisen Guo and Steven Kraines

Part II: Security and Applications

Measurement Methods of User Behavior in Online Social Networks
Laszlo Gyarmati and Tuan Anh Trinh

Exploring Influence and Interests among Users within Social Networks
Jose Simoes, Julia Kiseleva, Elena Sivogolovko and Boris Novikov

User Cooperation, Virality and Gaming in a Social Mobile Network: The Gedda-Headz Concept
Csaba Varga, Laszlo Blazovics, Hassan Charaf and Frank Fitzek

An Effective User-Driven Framework for Selection of Social Network Services
Salaja Silas, Kirubakaran Ezra and Elijah Blessing Rajsingh

Opinion Mining for Social Networking: An Approach and Impact
Irfan Siddavatam and Ashwini Dalvi

Part III: Anonymity

Providing Group Anonymity in Social Networks
Oleg Chertov and Dan Tavrov

Anonymisation of Social Networks and a Rough Set Approach
Balakrushna Tripathy

Behavioural Patterns and Social Networks in Anonymity Systems
Kamil Malinka and Petr Hanek

O autorze

Dr. Ajith Abraham is Director of the Machine Intelligence Research (MIR) Labs, a global network of research laboratories with headquarters near Seattle, WA, USA. He is an author/co-author of more than 750 scientific publications. He is founding Chair of the International Conference of Computational Aspects of Social Networks (CASoN), Chair of IEEE Systems Man and Cybernetics Society Technical Committee on Soft Computing (since 2008), and a Distinguished Lecturer of the IEEE Computer Society representing Europe (since 2011).

Blurb

The study of computational social networks (CSNs) is an emerging interdisciplinary field, concerned with the intersection of social behavior and computer systems.

With the increasing popularity of social networking sites such as Myspace and Facebook, issues such as stalking, identity theft, sexual predators, and employee conduct have all become highly-publicized concerns. Many questions have also been raised about the ethics regarding the storage, management, and sharing of data held by CSNs. This comprehensive text/reference is the second of three volumes that illustrate the concept of social networks from a computational point of view. The book contains contributions from a international selection of world-class experts, concentrating on topics relating to security and privacy (the other two volumes review Tools, Perspectives, and Applications, and Mining and Visualization in CSNs).

Topics and features:

• Includes a thorough introduction to this exciting and blossoming field
• Presents the latest advances in security and privacy issues in CSNs, and illustrates how both organizations and individuals can be protected from real-world threats
• Discusses the design and use of a wide range of computational tools and software for social network analysis
• Describes simulations of social networks, and the representation and analysis of social networks, with a focus on issues of security, privacy, and anonymization
• Provides experience reports, survey articles, and intelligence techniques and theories relating to specific problems in network technology

This authoritative work is a useful resource for researchers and developers involved in social network research and related issues. Postgraduate and senior undergraduate students will also find this a valuable reference for courses on CSNs.