• DocumentCode
    1635994
  • Title

    An evolutionary programming approach for detecting novel computer network attacks

  • Author

    Anchor, Kevin P. ; Lamont, Gary B. ; Gunsch, Gregg H.

  • Author_Institution
    Dept. of Electr. & Comput. Eng., Air Force Inst. of Technol., Dayton, OH, USA
  • Volume
    2
  • fYear
    2002
  • fDate
    6/24/1905 12:00:00 AM
  • Firstpage
    1618
  • Lastpage
    1623
  • Abstract
    Attacks against computer networks are becoming more sophisticated, with adversaries using new attacks or modifying exiting attacks. This research presents an initial step in using an evolutionary programming approach to develop a system for automatically detecting attacks with features similar to known attacks. Initial testing shows the algorithm performs satisfactorily
  • Keywords
    computer networks; evolutionary computation; security of data; telecommunication security; computer network attack detection; computer network security; evolutionary programming; intrusion detection systems; testing; Artificial immune systems; Computer architecture; Computer network management; Computer networks; Detectors; Evolutionary computation; Genetic programming; Intrusion detection; Technology management; Testing;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Evolutionary Computation, 2002. CEC '02. Proceedings of the 2002 Congress on
  • Conference_Location
    Honolulu, HI
  • Print_ISBN
    0-7803-7282-4
  • Type

    conf

  • DOI
    10.1109/CEC.2002.1004484
  • Filename
    1004484