• DocumentCode
    1709214
  • Title

    Capability-centric attack model for network security analysis

  • Author

    Song, Shunhong ; Lu, Yuliang ; Cheng, Weiwei ; Yuan, Huan

  • Author_Institution
    Dept. of Network Eng., Electron. Eng. Inst., Hefei, China
  • Volume
    2
  • fYear
    2010
  • Abstract
    Most network attack models have the problem of lacking ablility to describe all types of attack patterns in deltail, with no consideration of attacker´s skill and policy. To address the problem, this paper proposes a well-structured model that abstracts the relation between attacker capability and victim vulnerability, the relation between knowledge, resource and capability of attacker. Both these two relations can be used to support automatic correlating of vulnerability exploits to build all the attack paths from the attacker to the target. The basic block of the model is a logical formula called capability, which is used to abstract consistently and precisely all levels of accesses obtained by the attacker in each step of a multistage attack. A flexible extensible language based on Pyke is developed to specify the model and derive inference rules to define logical relations between different capabilities, and a demonstration is given to show how it can be used in security applications such as vulnerability analysis and attack generation.
  • Keywords
    computer network security; logic programming; Pyke; capability; capability-centric attack model; flexible extensible language development; logical formula; multistage attack; network security analysis; vulnerability analysis; Analytical models; Computational modeling; Computers; Conferences; Knowledge engineering; Payloads; Security; attack model; capability; security analysis;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Signal Processing Systems (ICSPS), 2010 2nd International Conference on
  • Conference_Location
    Dalian
  • Print_ISBN
    978-1-4244-6892-8
  • Electronic_ISBN
    978-1-4244-6893-5
  • Type

    conf

  • DOI
    10.1109/ICSPS.2010.5555265
  • Filename
    5555265