• DocumentCode
    2545989
  • Title

    Research on information engineering surveillance risk evaluation based on probabilistic influence diagram

  • Author

    Liu, Hongzhi ; Zhang, Congcong ; Wan, Yueliang

  • Author_Institution
    Dept. of Comput. Sci. & Technol., Beijing Technol. & Bus. Univ., Beijing, China
  • fYear
    2010
  • fDate
    16-18 April 2010
  • Firstpage
    362
  • Lastpage
    366
  • Abstract
    Based on the systematic analysis of information security risk factors, we introduce the probabilistic influence diagram algorithms in order to solve the problem that it is difficult to evaluate the possibility of threats occur and information property value in the appraisal process. According to qualitative analysis to map out the risk influence diagram of information-based engineering and to calculate the probability of occurrence of information security risks applied Probability and influence diagram evaluation algorithm. And further obtain information security risk assessment conclusions. Finally, an example is introduced to demonstrate the risk analysis from the standpoint of risk analysis and to carry the information engineering surveillance´s point.
  • Keywords
    graph theory; risk analysis; security of data; statistical analysis; appraisal process; information engineering surveillance; information security; occurrence probability; probabilistic influence diagram algorithm; qualitative analysis; risk analysis; risk assessment; risk evaluation; Algorithm design and analysis; Appraisal; Computer science; Information analysis; Information security; Probability distribution; Random variables; Risk analysis; Risk management; Surveillance; Information Engineering; Probabilistic influence diagram; Risk Evaluation; Surveillance;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Information Management and Engineering (ICIME), 2010 The 2nd IEEE International Conference on
  • Conference_Location
    Chengdu
  • Print_ISBN
    978-1-4244-5263-7
  • Electronic_ISBN
    978-1-4244-5265-1
  • Type

    conf

  • DOI
    10.1109/ICIME.2010.5477717
  • Filename
    5477717