• DocumentCode
    1806496
  • Title

    Ranking Attacks Based on Vulnerability Analysis

  • Author

    Wang, Ju An ; Wang, Hao ; Guo, Minzhe ; Zhou, Linfeng ; Camargo, Jairo

  • fYear
    2010
  • fDate
    5-8 Jan. 2010
  • Firstpage
    1
  • Lastpage
    10
  • Abstract
    Now that multiple-known attacks can affect one software product at the same time, it is necessary to rank and prioritize those attacks in order to establish a better defense. The purpose of this paper is to provide a set of security metrics to rank attacks based on vulnerability analysis. The vulnerability information is retrieved from a vulnerability management ontology, which integrates commonly used standards like CVE, CWE, CVSS, and CAPEC. Among the benefits of ranking attacks through the method proposed here are: a more effective mitigation or prevention of attack patterns against systems, a better foundation to test software products, and a better understanding of vulnerabilities and attacks.
  • Keywords
    ontologies (artificial intelligence); program testing; security of data; ranking attacks; software product; vulnerability analysis; vulnerability management ontology; Computer industry; Data security; Information retrieval; Information security; Ontologies; Programming; Software standards; Software systems; Software testing; Software tools;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    System Sciences (HICSS), 2010 43rd Hawaii International Conference on
  • Conference_Location
    Honolulu, HI
  • ISSN
    1530-1605
  • Print_ISBN
    978-1-4244-5509-6
  • Electronic_ISBN
    1530-1605
  • Type

    conf

  • DOI
    10.1109/HICSS.2010.313
  • Filename
    5428663