• DocumentCode
    3390950
  • Title

    Network security using self organized multi agent swarms

  • Author

    Holloway, Eric M. ; Lamont, Gary B. ; Peterson, Gilbert L.

  • Author_Institution
    Dept. of Electr. & Comput. Eng., Air Force Inst. of Technol., Dayton, OH
  • fYear
    2009
  • fDate
    March 30 2009-April 2 2009
  • Firstpage
    144
  • Lastpage
    151
  • Abstract
    Computer network cyber-security is a very serious concern in many commercial, industrial, and military environments. This paper proposes a new computer network security approach defined by self organized agent swarms (SOMAS) which provides a novel computer network security management framework based upon desired overall system behaviors. The SOMAS structure evolves based upon the partially observable Markov decision process (POMDP) formal model and the more complex interactive-POMDP and decentralized-POMDP models. Example swarm specific and network based behaviors are formalized and simulated. This paper illustrates through various statistical testing techniques, the significance of this proposed SOMAS architecture.
  • Keywords
    Markov processes; multi-agent systems; security of data; computer network cyber-security; partially observable Markov decision process formal model; self organized multi agent swarms; statistical testing techniques; Automatic testing; Computer industry; Computer network management; Computer networks; Computer security; Computer worms; Defense industry; Internet; Intrusion detection; Military computing; agent swarms; computer network security; cyberspace; self-organization;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Computational Intelligence in Cyber Security, 2009. CICS '09. IEEE Symposium on
  • Conference_Location
    Nashville, TN
  • Print_ISBN
    978-1-4244-2769-7
  • Type

    conf

  • DOI
    10.1109/CICYBS.2009.4925102
  • Filename
    4925102