• DocumentCode
    2756984
  • Title

    A Quantitative Risk Assessment Approach Based on VPRS and Group Decision-Making Theory

  • Author

    Cheng, Xiaorong ; Geng, Xin ; Wei, Yan

  • Author_Institution
    Sch. of Comput. Sci. & Technol., North China Electr. Power Univ., Baoding, China
  • Volume
    1
  • fYear
    2009
  • fDate
    25-26 July 2009
  • Firstpage
    456
  • Lastpage
    459
  • Abstract
    In view of the characteristics and the special demands of the electric power information system, this paper designs an assessment model based on variable precision rough set. Then, it uses group decision-making theory, which could make the results of the assessment more accurate and more objective, to calculate the risk value of the target system risk. And then VPRS and AHP are used to determine the index weight involved in the process of the electric power information risk assessment. Finally, it verifies the correctness of the algorithm by analyzing results of the examples of the electric power information system security assessment. We can see that the model could not only find the weakness of the system by analyzing the results got by calculating the current risk value of the electric power system, but also reduce the influence of the subjective factors in some degree.
  • Keywords
    decision making; power engineering computing; risk management; rough set theory; security of data; VPRS; electric power information risk assessment; electric power information system security assessment; group decision-making theory; index weight; quantitative risk assessment approach; variable precision rough set; Computer science; Decision making; Information analysis; Information security; Information systems; Information technology; Power system management; Power system modeling; Risk analysis; Risk management; group decision-making; index weight; risk assessment; variable precision rough set;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Information Technology and Computer Science, 2009. ITCS 2009. International Conference on
  • Conference_Location
    Kiev
  • Print_ISBN
    978-0-7695-3688-0
  • Type

    conf

  • DOI
    10.1109/ITCS.2009.99
  • Filename
    5190110