• DocumentCode
    2015385
  • Title

    Extended Abstract: Access Graph Based Risk Analysis for Network Information System

  • Author

    Xiao, Xiaochun ; Zhang, Tiange ; Zhang, Gendu

  • Author_Institution
    Sch. of Compute Sci., Fudan Univ., Shanghai, China
  • fYear
    2008
  • fDate
    13-15 Dec. 2008
  • Firstpage
    129
  • Lastpage
    132
  • Abstract
    Currently, the risk analysis 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 analysis. 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 analysis based on the access graph. As a complement to the attack graph approach, the access graph is host-centric approach, which grows polynomially with the number of hosts and so has the benefit of being computationally feasible on large networks. Compared with related works, our approach improves in both performance and computational cost.
  • Keywords
    computer networks; graph theory; information systems; risk analysis; security of data; access graph based risk analysis; attack graph approach; host-centric approach; model-based assessment; network information system security; network vulnerability modeling; Access control; Algorithm design and analysis; Computational efficiency; Computational modeling; Computer networks; Data structures; Information security; Information systems; Polynomials; Risk analysis; access graph; network security; risk analysis;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Security Technology, 2008. SECTECH '08. International Conference on
  • Conference_Location
    Hainan Island
  • Print_ISBN
    978-0-7695-3486-2
  • Type

    conf

  • DOI
    10.1109/SecTech.2008.18
  • Filename
    4725360