
Security and Privacy in Social Networks
Springer (Publisher)
Published on 14. August 2012
Book
Hardback
VI, 254 pages
978-1-4614-4138-0 (ISBN)
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.
More details
Edition
2013 ed.
Language
English
Place of publication
New York
United States
Target group
Professional and scholarly
Professional/practitioner
Illustrations
VI, 254 p.
Dimensions
Height: 241 mm
Width: 160 mm
Thickness: 19 mm
Weight
559 gr
ISBN-13
978-1-4614-4138-0 (9781461441380)
DOI
10.1007/978-1-4614-4139-7
Schweitzer Classification
Other editions
Additional editions

Yaniv Altshuler | Yuval Elovici | Armin B. Cremers
Security and Privacy in Social Networks
Book
09/2014
Springer
€112.34
Shipment within 15-20 days

Yaniv Altshuler | Yuval Elovici | Armin B. Cremers
Security and Privacy in Social Networks
E-Book
08/2012
1st Edition
Springer
€96.29
Available for download
Content
Introduction to Security and Privacy in Social Networks.- Interdisciplinary Impact Analysis of Privacy in Social Networks.- Recognizing Your Digital Friends.- Encryption for Peer-to-Peer Social Networks.- Crowdsourcing and Ethics.- The Effect of Social Status on Decision-Making and Prices in Financial Networks.- Stealing Reality: When Criminals Become Data Scientists (or Vice Versa).- Applications of k-Anonymity and l-Diversity in Publishing Online Social Networks.- Links Reconstruction Attack.- An Analysis of Anonymity in the Bitcoin System.- Privacy-Preserving Data Integration using Decoupled Data.