• DocumentCode
    3090416
  • Title

    Context Information based Cyber Security Defense of Protection System

  • Author

    Su, Sheng ; Duan, Xianzhong ; Zeng, Xiangjun ; Chan, W.L. ; Li, K.K.

  • Author_Institution
    Huazhong Univ. of Sci. & Technol., Wuhan
  • fYear
    2007
  • fDate
    24-28 June 2007
  • Firstpage
    1
  • Lastpage
    1
  • Abstract
    Summary form only given. With the development of substation automation system, it is now feasible for the intelligent electronic devices (lEDs) based protection system to collect its measurements from electronic instrument transformers through communication network such as Ethernet based LAN. Application of wide area broadband network in power utilities introduces underlying danger for protection system to mal-operate when receiving fake data packages from intruder. This paper proposes to identify vicious fault using context information such as voltage and current of the same substation. When protection system detects fault based on measurements transmitted through network, it collects all measurements of the substation and feed these data to a Probabilistic Neural Network (PNN). Thereafter, the fault caused by fake data that differs from the known fault pattern can be identified and blocked.
  • Keywords
    fault diagnosis; neural nets; power engineering computing; power system protection; power system security; probability; substation automation; Ethernet based LAN; context information based cyber security defense; electronic instrument transformers; intelligent electronic devices based protection system; probabilistic neural network; substation automation system; wide area broadband network; Communication networks; Computer security; Context; Fault diagnosis; Instrument transformers; Intelligent networks; Light emitting diodes; Power system protection; Substation automation; Substation protection;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Power Engineering Society General Meeting, 2007. IEEE
  • Conference_Location
    Tampa, FL
  • ISSN
    1932-5517
  • Print_ISBN
    1-4244-1296-X
  • Electronic_ISBN
    1932-5517
  • Type

    conf

  • DOI
    10.1109/PES.2007.385649
  • Filename
    4275258