• DocumentCode
    2109260
  • Title

    Fuzzy Heuristic Design for Diagnosis of Web-Based Vulnerabilities

  • Author

    Subramanian, Deepak ; Le, Ha Thanh ; Loh, Peter Kok Keong

  • Author_Institution
    Sch. of Comput. Eng., Nanyang Technol. Univ., Singapore
  • fYear
    2009
  • fDate
    24-28 May 2009
  • Firstpage
    103
  • Lastpage
    108
  • Abstract
    The common vulnerability scoring system (CVSS) provides an open, standardized method for rating vulnerabilities. CVSS provides base-level metrics for vulnerability classification that can be used with other strategies such as intrusion detection classification to form a complete diagnostic system. This emphasizes focus on defining and representing the various strategies that can be employed to provide a formal and more practical approach to vulnerabilities assessment. The various parameters that are defined have been derived from a set of five assertions and the initial fuzzy scanner metrics (the pre-defined scanner parameters). The fuzziness of the scanner metrics allows for a greater manipulation of results before a complete diagnosis can be presented. The confidence reports (1st and 2nd degree) could be used to provide information aiding the initiation of suitable steps to be taken.
  • Keywords
    Internet; fuzzy set theory; Web-based vulnerability; base-level metrics; common vulnerability scoring system; fuzzy heuristic design; fuzzy scanner metrics; Application software; Computerized monitoring; Databases; Design engineering; Fuzzy sets; Fuzzy systems; Internet; Intrusion detection; Protection; Standardization;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Internet Monitoring and Protection, 2009. ICIMP '09. Fourth International Conference on
  • Conference_Location
    Venice/Mestre
  • Print_ISBN
    978-1-4244-3839-6
  • Electronic_ISBN
    978-0-7695-3612-5
  • Type

    conf

  • DOI
    10.1109/ICIMP.2009.25
  • Filename
    5076357