Network Robustness under Large-Scale Attacks [electronic resource] / by Qing Zhou, Long Gao, Ruifang Liu, Shuguang Cui.

By:

Zhou, Qing [author.]

Contributor(s):

Series: SpringerBriefs in Computer SciencePublisher: New York, NY : Springer New York : Imprint: Springer, 2013Description: VIII, 41 p. 12 illus. online resourceContent type:

text

Media type:

computer

Carrier type:

online resource

ISBN:

9781461448600

Subject(s):

Genre/Form:

Electronic books.

Additional physical formats: Printed edition:: No titleDDC classification:

621.382 23

LOC classification:

TK1-9971

Online resources:

Click here to access online

Contents:

Introduction -- System Models -- Link-Level Network Robustness to Area Attacks -- Network-Wide Robustness to Area Attacks -- Simulation Results -- Conclusion.

In: Springer eBooksSummary: 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.

Item type:

eBooks

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Introduction -- System Models -- Link-Level Network Robustness to Area Attacks -- Network-Wide Robustness to Area Attacks -- Simulation Results -- Conclusion.

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.