• DocumentCode
    3624767
  • Title

    Intrusion Response as a Resource Allocation Problem

  • Author

    Michael Bloem;Tansu Alpcan;Tamer Basar

  • Author_Institution
    Coordinated Science Laboratory, University of Illinois, 1308 West Main Street, Urbana, IL 61801 USA. mbloem2@control.csl.uiuc.edu
  • fYear
    2006
  • Firstpage
    6283
  • Lastpage
    6288
  • Abstract
    We study intrusion response in access control systems as a resource allocation problem, and address it within a decision and control framework. By modeling the interaction between malicious attacker(s) and the intrusion detection system (IDS) as a noncooperative non-zero sum game, we develop an algorithm for optimal allocation of the system administrator´s time available for responding to attacks, which is treated as a scarce resource. This algorithm, referred to as the automatic or administrator response (AOAR) algorithm, applies neural network and LP optimization tools. Finally, we implement an IDS prototype in MATLAB based on a game theoretical framework, and demonstrate its operation under various scenarios with and without the AOAR algorithm. Our approach and the theory developed are general and can be applied to a variety of IDSs and computer networks
  • Keywords
    "Resource management","Intrusion detection","Access control","Control systems","Mathematical model","Neural networks","Prototypes","MATLAB","Game theory","Computer networks"
  • Publisher
    ieee
  • Conference_Titel
    Decision and Control, 2006 45th IEEE Conference on
  • ISSN
    0191-2216
  • Print_ISBN
    1-4244-0171-2
  • Type

    conf

  • DOI
    10.1109/CDC.2006.376981
  • Filename
    4177356