Security, Privacy, and Anonymization in Social Networks

Emerging Research and Opportunities

Nonfiction, Computers, Networking & Communications, Computer Security, Operating Systems, Application Software
Cover of the book Security, Privacy, and Anonymization in Social Networks by B. K. Tripathy, Kiran Baktha, IGI Global
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Author: B. K. Tripathy, Kiran Baktha ISBN: 9781522551607
Publisher: IGI Global Publication: January 19, 2018
Imprint: Information Science Reference Language: English
Author: B. K. Tripathy, Kiran Baktha
ISBN: 9781522551607
Publisher: IGI Global
Publication: January 19, 2018
Imprint: Information Science Reference
Language: English

Technology has become profoundly integrated into modern society; however, this increases the risk of vulnerabilities, such as hacking and other system errors, along with other online threats. Security, Privacy, and Anonymization in Social Networks: Emerging Research and Opportunities is a pivotal reference source for the most up-to-date research on edge clustering models and weighted social networks. Presenting widespread coverage across a range of applicable perspectives and topics, such as neighborhood attacks, fast k-degree anonymization (FKDA), and vertex-clustering algorithms, this book is ideally designed for academics, researchers, post-graduates, and practitioners seeking current research on undirected networks and greedy algorithms for social network anonymization.

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Technology has become profoundly integrated into modern society; however, this increases the risk of vulnerabilities, such as hacking and other system errors, along with other online threats. Security, Privacy, and Anonymization in Social Networks: Emerging Research and Opportunities is a pivotal reference source for the most up-to-date research on edge clustering models and weighted social networks. Presenting widespread coverage across a range of applicable perspectives and topics, such as neighborhood attacks, fast k-degree anonymization (FKDA), and vertex-clustering algorithms, this book is ideally designed for academics, researchers, post-graduates, and practitioners seeking current research on undirected networks and greedy algorithms for social network anonymization.

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