• DocumentCode
    436595
  • Title

    Multiple classifiers combination based on protocol analysis for network intrusion detection

  • Author

    Guojun, Sungang Zhangli

  • Author_Institution
    Sch. of Inf. & Eng., Beijing Univ. of Posts & Telecommun., China
  • Volume
    2
  • fYear
    2004
  • fDate
    31 Aug.-4 Sept. 2004
  • Firstpage
    1578
  • Abstract
    As the network spreads to each corner of the world, computers are exposed to miscellaneous intrusion from the World Wide Web. We need effective intrusion detection system to protect our computers from these unauthorized or malicious actions. As pattern recognition method used in intrusion detection system, the limitation in traditional detection methods is cancelled. In this paper a new intrusion detection approach using multiclassifier combination based on protocol analysis is proposed. Experiment has been done on dataset in KDD-99 and the result shows that it is an effective method.
  • Keywords
    Internet; pattern classification; protocols; security of data; telecommunication security; malicious action; multiple classifiers; network intrusion detection system; pattern recognition; protocol analysis; Application software; Computer bugs; Data security; Intrusion detection; Pattern recognition; Protection; Protocols; Telecommunication traffic; Web and internet services; Web sites;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Signal Processing, 2004. Proceedings. ICSP '04. 2004 7th International Conference on
  • Print_ISBN
    0-7803-8406-7
  • Type

    conf

  • DOI
    10.1109/ICOSP.2004.1441631
  • Filename
    1441631