• DocumentCode
    2193139
  • Title

    Research of Threat Identification Based on Bayesian Networks

  • Author

    Li Man ; Feng, Xinxi ; Chen, Jiaoping

  • Author_Institution
    Telecommun. Eng. Inst., AFEU, Xian, China
  • fYear
    2009
  • fDate
    24-26 Sept. 2009
  • Firstpage
    1
  • Lastpage
    3
  • Abstract
    Threat identification is one of the key problems in threat assessment, it involves many uncertain factors. Bayesian network is an effective tool for uncertainty knowledge. According to characteristics of threat identification and Bayesian network, a method of threat identification based on Bayesian network is brought forward. The situation assessment knowledge representation using the Bayesian networks, the steps to construct a Bayesian networks for threat assessment were presented, and the layers of events in the situation assessment system were analyzed. Finally, the process of how to use the Bayesian networks for Threat identification was showed by an example.
  • Keywords
    belief networks; knowledge representation; security of data; Bayesian networks; knowledge representation; situation assessment system; threat assessment; threat identification; uncertainty knowledge; Artificial intelligence; Artificial neural networks; Bayesian methods; Calculus; Decision making; Equations; Information resources; Knowledge representation; Probability; Uncertainty;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Wireless Communications, Networking and Mobile Computing, 2009. WiCom '09. 5th International Conference on
  • Conference_Location
    Beijing
  • Print_ISBN
    978-1-4244-3692-7
  • Electronic_ISBN
    978-1-4244-3693-4
  • Type

    conf

  • DOI
    10.1109/WICOM.2009.5305479
  • Filename
    5305479