• DocumentCode
    2605514
  • Title

    WAMS information security assessment based on evidence theory

  • Author

    Wen-xia, Liu ; Yong-feng, Fan ; Li-xin, Zhang ; Xin, Zhang ; Hua-kun, Que

  • Author_Institution
    Sch. of Electr. & Electron. Eng., North China Electr. Power Univ., Beijing, China
  • fYear
    2009
  • fDate
    6-7 April 2009
  • Firstpage
    1
  • Lastpage
    5
  • Abstract
    In this paper, a framework for WAMS communication system security assessment is presented. Firstly, it divided the communication systems of WAMS into several subcomponents according to ISO/IEC 17799, and then associated the assets´ property by the Architecture Theory Diagrams (ATD). Secondly, the AHP is introduced to build the assessment hierarchy and distribute the index weight. At last, the data of subcomponents is aggregated by the D-S algorithm. In this way, it compensates for the side-effects of the inherent uncertainties of WAMS and makes the result more accurate. At last a case study shows that the framework and evaluation methods presented in this paper have an instructional significance on improving the information security of WAMS. They also can be applied in other communication systems of power systems.
  • Keywords
    IEC standards; ISO standards; power system measurement; power system security; statistical analysis; AHP; D-S algorithm; ISO/IEC 17799; WAMS communication; WAMS information security assessment; architecture theory diagrams; evidence theory; power systems; Communication system security; Communication systems; Data security; IEC standards; ISO standards; Information security; Monitoring; Power system dynamics; Power system security; Wide area measurements; Communication Security; Evidence Theory; ISO/IEC 17799; WAMS;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Sustainable Power Generation and Supply, 2009. SUPERGEN '09. International Conference on
  • Conference_Location
    Nanjing
  • Print_ISBN
    978-1-4244-4934-7
  • Type

    conf

  • DOI
    10.1109/SUPERGEN.2009.5348329
  • Filename
    5348329