• DocumentCode
    583052
  • Title

    Research of Network Vulnerability Analysis Based on Attack Capability Transfer

  • Author

    Wang, Yong ; Yun, Xiaochun ; Zhang, Yongzheng ; Jin, Shuyuan ; Qiao, YanChen

  • Author_Institution
    Inst. of Comput. Technol., Grad. Univ. of Chinese Acad. of Sci., Beijing, China
  • fYear
    2012
  • fDate
    27-29 Oct. 2012
  • Firstpage
    38
  • Lastpage
    44
  • Abstract
    Network vulnerability analysis is one of the important techniques to protect network security. Modeling and classification of network vulnerability are introduced firstly, then the concept of attack capability transfer and the algorithm to produce it are presented, which can aggregate vulnerabilities with the same exploitation attributes and satisfying some constrains to simplify the further analysis. Based on the attack capability transfer, a new method constructing attack graph is presented, and the complexity is O(N2) where N is the number of hosts in a network. Through the analysis of attack graph, network vulnerability quantitative analysis is taken and security hardening method based on approximate greedy algorithm is presented, the complexity of which is O(V), where V is the number of vulnerabilities in a network. Experiment shows the effectiveness of the method.
  • Keywords
    computational complexity; computer network security; graph theory; greedy algorithms; O(N2) complexity; O(V) complexity; approximate greedy algorithm; attack capability transfer; attack graph; network security; network vulnerability analysis; network vulnerability quantitative analysis; security hardening method; Analytical models; Complexity theory; Databases; Electronic mail; Security; Servers; Silicon; Attack Capability Transfer; Attack Graph; Network Security Hardening; Network Vulnerability Modeling; Vulnerability;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Computer and Information Technology (CIT), 2012 IEEE 12th International Conference on
  • Conference_Location
    Chengdu
  • Print_ISBN
    978-1-4673-4873-7
  • Type

    conf

  • DOI
    10.1109/CIT.2012.32
  • Filename
    6391871