• DocumentCode
    2323111
  • Title

    Environmental Metrics for Software Security Based on a Vulnerability Ontology

  • Author

    Wang, Ju An ; Guo, Minzhe ; Wang, Hao ; Xia, Min ; Zhou, Linfeng

  • Author_Institution
    Southern Polytech. State Univ., Marietta, GA, USA
  • fYear
    2009
  • fDate
    8-10 July 2009
  • Firstpage
    159
  • Lastpage
    168
  • Abstract
    This paper proposes an ontology-based approach to analyzing and assessing the security posture for software products. It provides measurements of trust for a software product based on its security requirements and evidence of assurance, which are retrieved from an ontology built for vulnerability management. Our approach differentiates with the previous work in the following aspects: (1) It is a holistic approach emphasizing that the system assurance cannot be determined or explained by its component assurance alone. Instead, the software system as a whole in a given running environment determines its assurance level. (2) Our approach is based on widely accepted standards such as CVSS, CVE, CWE, CPE, and CAPEC. Our ontology integrated these standards seamlessly thus provides a solid foundation for security assessment. (3) Automated tools have been built to support our approach, delivering the environmental scores for software products.
  • Keywords
    ontologies (artificial intelligence); security of data; software reliability; CAPEC; CPE; CVE; CVSS; CWE; assurance; environmental metrics; running environment; software security; vulnerability ontology; Automation; Computer security; Data security; Environmental management; Information security; Measurement standards; Ontologies; Particle measurements; Sea measurements; Software standards; Environmental score; Ontology; Security metrics; Software products;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Secure Software Integration and Reliability Improvement, 2009. SSIRI 2009. Third IEEE International Conference on
  • Conference_Location
    Shanghai
  • Print_ISBN
    978-0-7695-3758-0
  • Type

    conf

  • DOI
    10.1109/SSIRI.2009.60
  • Filename
    5325379