• DocumentCode
    3326346
  • Title

    Security Ontologies: Improving Quantitative Risk Analysis

  • Author

    Ekelhart, Andreas ; Fenz, Stefan ; Klemen, Markus ; Weippl, Edgar

  • Author_Institution
    Secure Bus. Austria-Security Res., Vienna
  • fYear
    2007
  • fDate
    Jan. 2007
  • Abstract
    IT-security has become a much diversified field and small and medium sized enterprises (SMEs), in particular, do not have the financial ability to implement a holistic IT-security approach. We thus propose a security ontology, to provide a solid base for an applicable and holistic IT-security approach for SMEs, enabling low-cost risk management and threat analysis. Based on the taxonomy of computer security and dependability by Landwehr, a heavy-weight ontology can be used to organize and systematically structure knowledge on threats, safeguards, and assets. Using this ontology, each threat scenario can be simulated with a different protection profile as to evaluate the effectiveness and the cost/benefit ratio of individual safeguards
  • Keywords
    ontologies (artificial intelligence); risk analysis; security of data; small-to-medium enterprises; IT-security; quantitative risk analysis; risk management; security ontology; small and medium sized enterprise; Computational modeling; Computer security; Ontologies; Protection; Risk analysis; Risk management; Solids; Taxonomy; Terminology; Vocabulary;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    System Sciences, 2007. HICSS 2007. 40th Annual Hawaii International Conference on
  • Conference_Location
    Waikoloa, HI
  • ISSN
    1530-1605
  • Electronic_ISBN
    1530-1605
  • Type

    conf

  • DOI
    10.1109/HICSS.2007.478
  • Filename
    4076691