Network Robustness under Large-Scale Attacks

  • Qing Zhou
  • Long Gao
  • Ruifang Liu
  • Shuguang Cui
Part of the SpringerBriefs in Computer Science book series (BRIEFSCOMPUTER)

Table of contents

  1. Front Matter
    Pages i-viii
  2. Qing Zhou, Long Gao, Ruifang Liu, Shuguang Cui
    Pages 1-5
  3. Qing Zhou, Long Gao, Ruifang Liu, Shuguang Cui
    Pages 7-8
  4. Qing Zhou, Long Gao, Ruifang Liu, Shuguang Cui
    Pages 9-15
  5. Qing Zhou, Long Gao, Ruifang Liu, Shuguang Cui
    Pages 17-23
  6. Qing Zhou, Long Gao, Ruifang Liu, Shuguang Cui
    Pages 25-31
  7. Qing Zhou, Long Gao, Ruifang Liu, Shuguang Cui
    Pages 33-33
  8. Back Matter
    Pages 35-41

About this book

Introduction

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.

Keywords

Area attacks Correlated attacks Network robustness Physical attacks Random Networks

Authors and affiliations

  • Qing Zhou
    • 1
  • Long Gao
    • 2
  • Ruifang Liu
    • 3
  • Shuguang Cui
    • 4
  1. 1., Department of Electrical andTexas A&M UniversityCollege StationUSA
  2. 2.Hitachi Research LabSanta ClaraUSA
  3. 3.and TelecommunicationsBeijing University of PostsBeijingChina, People's Republic
  4. 4., Department of Electrical andTexas A&M UniversityCollege StationUSA

Bibliographic information

  • DOI https://doi.org/10.1007/978-1-4614-4860-0
  • Copyright Information The Authors 2013
  • Publisher Name Springer, New York, NY
  • eBook Packages Computer Science
  • Print ISBN 978-1-4614-4859-4
  • Online ISBN 978-1-4614-4860-0
  • Series Print ISSN 2191-5768
  • Series Online ISSN 2191-5776
  • About this book