• DocumentCode
    114253
  • Title

    Stealthy attacks in power systems: Limitations on manipulating the estimation deviations caused by switching network topologies

  • Author

    Shaocheng Wang ; Wei Ren

  • Author_Institution
    Univ. of California, Riverside, Riverside, CA, USA
  • fYear
    2014
  • fDate
    15-17 Dec. 2014
  • Firstpage
    217
  • Lastpage
    222
  • Abstract
    The reliability and robustness of the power system have gained increasing attention as the trend of including more information infrastructures into the current power grid. The stealthy attack is a kind of cyber attack that is undetectable to any residue-based detection scheme. Our previous work [1] has shown that the existence of such attacks can be eliminated by rotationally switching off one of some preselected links which contain a spanning tree of the network graph. In this paper, we extend our previous work, to consider the case when the attack is only stealthy in some of the topologies. The possible consistent deviations of the estimated states are formulated. We show that as the attack is stealthy in more topologies, the flexibility of such deviations is linearly decreased. Several cases are studied to show this trade-off.
  • Keywords
    network theory (graphs); power engineering computing; power grids; power system protection; power system reliability; security of data; switching networks; telecommunication network topology; cyber attack; network graph; power grid; power system reliability; power system robustness; power system stealthy attack; residue-based detection scheme; spanning tree; switching network topology; Artificial intelligence; Estimation; Network topology; Power transmission lines; Topology; Transmission line matrix methods; Transmission line measurements;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Decision and Control (CDC), 2014 IEEE 53rd Annual Conference on
  • Conference_Location
    Los Angeles, CA
  • Print_ISBN
    978-1-4799-7746-8
  • Type

    conf

  • DOI
    10.1109/CDC.2014.7039384
  • Filename
    7039384