• DocumentCode
    1728319
  • Title

    Vulnerability Discovery Modeling Using Weibull Distribution

  • Author

    Joh, HyunChul ; Kim, Jinyoo ; Malaiya, Yashwant K.

  • Author_Institution
    Comput. Sci. Dept., Colorado State Univ., Fort Collins, CO
  • fYear
    2008
  • Firstpage
    299
  • Lastpage
    300
  • Abstract
    A vulnerability discovery model describes the variation in the vulnerability discovery rate during the lifetime of a software system and can be used to assess risk and to evaluate possible mitigation approaches. A few vulnerability discovery models have recently been proposed. The AML Logistic model has been found to provide the best fit in several cases. Weibull distribution, which can model an asymmetric pdf, is often used for reliability evaluation in some fields but has not been used for modeling vulnerability discovery. Here we propose a new Weibull distribution based on vulnerability discovery model and compare it with the existing AML Model. The results show that the new model performs well in many cases, and may be considered as an alternative to the AML model.
  • Keywords
    Weibull distribution; security of data; software reliability; Alhazmi-Malaiya logistic model; Weibull distribution; software system lifetime; vulnerability discovery model; Calendars; Equations; Linux; Logistics; Open source software; Operating systems; Security; Shape; Software systems; Weibull distribution; Operating System; Security; Vulnerability Discovery; Weibull Distribution;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Software Reliability Engineering, 2008. ISSRE 2008. 19th International Symposium on
  • Conference_Location
    Seattle, WA
  • ISSN
    1071-9458
  • Print_ISBN
    978-0-7695-3405-3
  • Electronic_ISBN
    1071-9458
  • Type

    conf

  • DOI
    10.1109/ISSRE.2008.32
  • Filename
    4700345