• DocumentCode
    1270539
  • Title

    Coordinated data-injection attack and detection in the smart grid: A detailed look at enriching detection solutions

  • Author

    Shuguang Cui ; Zhu Han ; Kar, S. ; Kim, T.T. ; Poor, H.V. ; Tajer, A.

  • Author_Institution
    Electr. & Comput. Eng., Texas A&M Univ., College Station, TX, USA
  • Volume
    29
  • Issue
    5
  • fYear
    2012
  • Firstpage
    106
  • Lastpage
    115
  • Abstract
    A smart grid improves the efficiency of power grids via the aid of modern communication, signal processing, and control technologies. While smart grid integration enables power grid networks to be smarter, it also increases the risk of cyberattacks due to the strong dependence on the cyberinfrastructure in the overall system. In this article, the coordinated datainjection attack detection problem in the smart grid is considered. Specifically, the data-injection attack model is first introduced and a thorough survey of existing detection methods is then given. Afterward, three important efforts to enrich the detection solution are presented in detail: 1) attacker versus defender dynamics, where possible interactive attack and defense strategies are discussed in the context of secure phasor measurement unit (PMU) placement 2) distributed attack detection and state recovery, where the focus is how to achieve the optimal centralized performance with a distributed approach 3) quickest detection (QD), where the trade off between the detection speed and detection performance is studied. A list of associated key open problems in this area is then presented to conclude this article.
  • Keywords
    phasor measurement; power system security; smart power grids; coordinated data injection attack detection; cyberattack; cyberinfrastructure; distributed approach; distributed attack detection; modern communication; phasor measurement unit; signal processing; smart power grid; state recovery; Energy efficiency; Phasor measurement; Power grids; Power system control; Power system dynamics; Power system management; Signal processing; Smart grids;
  • fLanguage
    English
  • Journal_Title
    Signal Processing Magazine, IEEE
  • Publisher
    ieee
  • ISSN
    1053-5888
  • Type

    jour

  • DOI
    10.1109/MSP.2012.2185911
  • Filename
    6279584