Computational Social Networks

Security and Privacy

Inbunden, Engelska, 2012

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This book is the second of three volumes that illustrate the concept of social networks from a computational point of view. describes simulations of social networks, and the representation and analysis of social networks, with a focus on issues of security, privacy, and anonymization;

Produktinformation

Utgivningsdatum2012-08-15
Mått155 x 235 x 25 mm
Vikt692 g
FormatInbunden
SpråkEngelska
Antal sidor350
Upplaga2012
FörlagSpringer London Ltd
ISBN9781447140504

Tillhör följande kategorier

Informationsteknik: allmänt inom Data och it
Hårdvara inom Data och it
Nätverk och kommunikation inom Data och it
Databaser inom Data och it
Människa – datorinteraktion inom Data och it

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).

Part I: Privacy and Trust.- Computational Social Networks: Security and Privacy.- Security, Privacy and Trust in Social Networks.- Blogging Around the Globe: Motivations, Privacy Concerns and Social Networking.- Privacy in Online Social Networks.- Privacy Settings in Online Social Networks as a Conflict of Interests.- A Reliability-Based Metric for Inferring Trust from Recommendations in Knowledge Sharing Networks.- Part II: Security and Applications.- Measurement Methods of User Behavior in Online Social Networks.- Exploring Influence and Interests among Users within Social Networks.- User Cooperation, Virality and Gaming in a Social Mobile Network: The Gedda-Headz Concept.- An Effective User-Driven Framework for Selection of Social Network Services.- Opinion Mining for Social Networking: An Approach and Impact.- Part III: Anonymity.- Providing Group Anonymity in Social Networks.- Anonymisation of Social Networks and a Rough Set Approach.- Behavioural Patternsand Social Networks in Anonymity Systems.