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

Por: Colaborador(es): Tipo de material: TextoTextoSeries SpringerBriefs in Computer Science | SpringerBriefs in Computer ScienceEditor: New York, NY : Springer New York : Imprint: Springer, 2013Descripción: VIII, 41 p. 12 illus. online resourceTipo de contenido:
  • text
Tipo de medio:
  • computer
Tipo de soporte:
  • online resource
ISBN:
  • 9781461448600
Trabajos contenidos:
  • SpringerLink (Online service)
Tema(s): Formatos físicos adicionales: Sin títuloClasificación CDD:
  • 621.382 23
Clasificación LoC:
  • TK1-9971
Recursos en línea:
Contenidos:
Springer eBooksResumen: Network Robustness under Large-Scale Attacksprovides 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 thenecessary tools to evaluate how a complex network responds to random and possibly correlated attacks.
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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 Attacksprovides 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 thenecessary tools to evaluate how a complex network responds to random and possibly correlated attacks.

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