Network Robustness under Large-Scale Attacks

Nonfiction, Computers, Advanced Computing, Theory, Science & Nature, Technology, Telecommunications
Cover of the book Network Robustness under Large-Scale Attacks by Qing Zhou, Long Gao, Ruifang Liu, Shuguang Cui, Springer New York
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Author: Qing Zhou, Long Gao, Ruifang Liu, Shuguang Cui ISBN: 9781461448600
Publisher: Springer New York Publication: September 15, 2012
Imprint: Springer Language: English
Author: Qing Zhou, Long Gao, Ruifang Liu, Shuguang Cui
ISBN: 9781461448600
Publisher: Springer New York
Publication: September 15, 2012
Imprint: Springer
Language: English

Network Robustness under Large-Scale Attacks provides the analysis of network robustness under attacks, with a focus on large-scale correlated physical attacks. The book begins with a thorough overview of the latest research and techniques to analyze the network responses to different types of attacks over various network topologies and connection models. It then introduces a new large-scale physical attack model coined as area attack, under which a new network robustness measure is introduced and applied to study the network responses. With this book, readers will learn the necessary tools to evaluate how a complex network responds to random and possibly correlated attacks.

View on Amazon View on AbeBooks View on Kobo View on B.Depository View on eBay View on Walmart

Network Robustness under Large-Scale Attacks provides the analysis of network robustness under attacks, with a focus on large-scale correlated physical attacks. The book begins with a thorough overview of the latest research and techniques to analyze the network responses to different types of attacks over various network topologies and connection models. It then introduces a new large-scale physical attack model coined as area attack, under which a new network robustness measure is introduced and applied to study the network responses. With this book, readers will learn the necessary tools to evaluate how a complex network responds to random and possibly correlated attacks.

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