• DocumentCode
    43104
  • Title

    Assessing and safeguarding network resilience to nodal attacks

  • Author

    Pin-Yu Chen ; Hero, Alfred O.

  • Author_Institution
    Univ. of Michigan, Ann Arbor, MI, USA
  • Volume
    52
  • Issue
    11
  • fYear
    2014
  • fDate
    Nov. 2014
  • Firstpage
    138
  • Lastpage
    143
  • Abstract
    This article introduces new methods for evaluating and improving resilience of network connectivity to attacks on nodes of the network. Network connectivity is evaluated using a centrality measure that quantifies sensitivity of the size of the largest connected component to node removals. Based on this centrality measure, a new method for improving resilience is introduced, called edge rewiring. The topology of the power grid of western U.S. states is used to illustrate the proposed method. Using the proposed centrality measure, we show that the power grid topology is especially vulnerable to nodal attacks. In particular, using the proposed centrality measure, an attacker could reduce the largest component size by nearly a factor of two by only targeting 0.2 percent of the nodes. More importantly, we show that network resilience can be greatly improved via a few edge rewires without introducing additional edges in the network.
  • Keywords
    computer network security; edge rewiring; network connectivity; network resilience; nodal attacks; power grid topology; Eigenvalues and eigenfunctions; Network architecture; Network topology; Power grids; Resilience;
  • fLanguage
    English
  • Journal_Title
    Communications Magazine, IEEE
  • Publisher
    ieee
  • ISSN
    0163-6804
  • Type

    jour

  • DOI
    10.1109/MCOM.2014.6957154
  • Filename
    6957154