• DocumentCode
    2188102
  • Title

    Access Graph Based Risk Assessment Model for Network Information System

  • Author

    Xiaochun Xiao ; Huan Wang ; Gendu Zhang

  • Author_Institution
    Sch. of Compute Sci., Fudan Univ. Shanghai, Shanghai, China
  • fYear
    2008
  • fDate
    27-28 Dec. 2008
  • Firstpage
    42
  • Lastpage
    48
  • Abstract
    The risk assessment for network information system has experienced a stage from rule-based questionnaire investigation to model-based assessment. Many graph-based models have been proposed and applied to risk assessment. Attack Graph is widely used one. But attack graphs grow exponentially with the size of the network. In this paper, we propose a comprehensive framework for network vulnerabilities modeling and risk assessment by policy rules violations based on the access graph. As a complement to the attack graph approach, the access graph grows polynomially with the number of hosts and so has the benefit of scaling better to more practical, realistic size networks. This paper presents a novel risk assessment model for network information system based access graph. Compared with related works, our approach improves the performance and reduces the computational cost.
  • Keywords
    authorisation; computer network management; telecommunication security; access graph; attack graph; graph-based models; model-based assessment; network information system; network vulnerability modeling; policy rules violations; risk assessment model; rule-based questionnaire investigation; Computer networks; Computer science; Computer security; Information security; Information systems; Polynomials; Power system modeling; Power system security; Risk analysis; Risk management; access graph; network security; risk assessment;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Frontier of Computer Science and Technology, 2008. FCST '08. Japan-China Joint Workshop on
  • Conference_Location
    Nagasahi
  • Print_ISBN
    978-1-4244-3418-3
  • Type

    conf

  • DOI
    10.1109/FCST.2008.26
  • Filename
    4736508