• DocumentCode
    3233819
  • Title

    Fault-tree analysis on computer security system using intuitionistic fuzzy sets

  • Author

    Miao, Zhuqi ; Wang, Zhoujing

  • Author_Institution
    Dept. of Autom., Xiamen Univ., Xiamen, China
  • fYear
    2009
  • fDate
    25-28 July 2009
  • Firstpage
    459
  • Lastpage
    463
  • Abstract
    Intuitionistic fuzzy set is a useful tool to express experts´ uncertain knowledge and experience information. Most computer security systems have abnormal states and their failure behaviors are always characterized in uncertainty and inaccuracy. How to calculate fault interval of system components is an interesting and important issue in intuitionistic fuzzy fault-tree analysis (IFFTA). Intuitionistic fuzzy fault diagnosis models are proposed in this paper to analyze fuzzy system reliability and to find the most critical system component for the decision-making based on some basic definitions. The proposed method is applied for the failure analysis problem of computer security systems and comparative studies are conducted to show its flexibility and effectiveness with the other fault tree analysis models.
  • Keywords
    fault diagnosis; fault trees; fuzzy set theory; security of data; software reliability; system recovery; computer security system; decision-making; failure analysis problem; fault-tree analysis; fuzzy system reliability analysis; intuitionistic fuzzy sets; system components fault interval; Automation; Computer science; Computer science education; Computer security; Failure analysis; Fault diagnosis; Fault trees; Fuzzy sets; Fuzzy systems; Uncertainty; computer security systems; intuitionistic fuzzy fault-tree analysis; intuitionistic fuzzy sets; possible failure interval;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Computer Science & Education, 2009. ICCSE '09. 4th International Conference on
  • Conference_Location
    Nanning
  • Print_ISBN
    978-1-4244-3520-3
  • Electronic_ISBN
    978-1-4244-3521-0
  • Type

    conf

  • DOI
    10.1109/ICCSE.2009.5228390
  • Filename
    5228390