• DocumentCode
    2900353
  • Title

    Fuzzy Risk Assessment of the Network Security

  • Author

    Zhao, Dong-mei ; Wang, Jing-hong ; Ma, Jian-feng

  • Author_Institution
    Inf. Technol., Hebei Normal Univ., Shijiazhuang
  • fYear
    2006
  • fDate
    13-16 Aug. 2006
  • Firstpage
    4400
  • Lastpage
    4405
  • Abstract
    A risk assessment method is introduced to the estimation of network security. The method, which combines AHP method and fuzzy logical method, is applied to the risk assessment. AHP method and fuzzy logical method are improved according to the actual condition of the risk assessment of network security. Each risk factor is estimated in the aspect of the probability, the impact severity and uncontrollability. The important degree of each risk factor is obtained. By comparing the important degree of each factor, which risks will be controlled by some means are known. On the other hand, by applying entropy-weight coefficient, the risk degree of the whole network system is obtained, the method of entropy-weight coefficient is applied to objective computation, and subjective judgment is overcome. The study of the case shows that the method can be easily used to the risk assessment of the network security and its results conform to the actual situation
  • Keywords
    computer networks; decision making; fuzzy logic; fuzzy set theory; probability; risk management; security of data; telecommunication security; AHP method; decision making; entropy-weight coefficient; fuzzy logical method; network security; probability; risk assessment; Computer networks; Computer science; Computer security; Cybernetics; Entropy; Fuzzy logic; Information security; Information technology; Machine learning; Risk analysis; Risk management; Switches; AHP method; Entropy-weight coefficient; Fuzzy logical method; Risk assessment;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Machine Learning and Cybernetics, 2006 International Conference on
  • Conference_Location
    Dalian, China
  • Print_ISBN
    1-4244-0061-9
  • Type

    conf

  • DOI
    10.1109/ICMLC.2006.259092
  • Filename
    4028847