• DocumentCode
    1808879
  • Title

    Rate alteration attacks in smart grid

  • Author

    Mishra, Subhankar ; Xiang Li ; Kuhnle, Alan ; Thai, My T. ; Jungtaek Seo

  • Author_Institution
    Dept. of Comp. & Inf. Sci. & Eng., Univ. of Florida, Gainesville, FL, USA
  • fYear
    2015
  • fDate
    April 26 2015-May 1 2015
  • Firstpage
    2353
  • Lastpage
    2361
  • Abstract
    Smart Grid addresses the problem of existing power grid´s increasing complexity, growing demand and requirement for greater reliability, through two-way communication and automated residential load control among others. These features also makes the Smart Grid a target for a number of cyber attacks. In the paper, we study the problem of rate alteration attack (RAA) through fabrication of price messages which induces changes in load profiles of individual users and eventually causes major alteration in the load profile of the entire network. Combining with cascading failure, it ends up with a highly damaging attack. We prove that the problem is NP-Complete and provide its inapproximability. We devise two approaches for the problem, former deals with maximizing failure of lines with the given resource and then extending the effect with cascading failure while the later takes cascading potential into account while choosing the lines to fail. To get more insight into the impact of RAA, we also extend our algorithms to maximize number of node failures. Empirical results on both IEEE Bus data and real network help us evaluate our approaches under various settings of grid parameters.
  • Keywords
    optimisation; power system security; smart power grids; IEEE bus data; NP-complete problem; RAA; cascading failure; load profile; node failures; price messages fabrication; rate alteration attacks; smart grid; Generators; Mathematical model; Power system faults; Power system protection; Power transmission lines; Smart grids;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Computer Communications (INFOCOM), 2015 IEEE Conference on
  • Conference_Location
    Kowloon
  • Type

    conf

  • DOI
    10.1109/INFOCOM.2015.7218623
  • Filename
    7218623