• DocumentCode
    2383289
  • Title

    A Network Intrusion Detection System Based Soft Computing

  • Author

    Liao, Niandong ; Tian, ShengFeng ; Huang, Houkuan ; Wang, Tinghua

  • fYear
    2007
  • fDate
    1-3 Nov. 2007
  • Firstpage
    517
  • Lastpage
    519
  • Abstract
    Intrusion detection is important in network security. Soft computing is a consortium of methodologies, which deal with various kinds of inaccuracies and uncertainties contained in real-world problems. In this paper, we present the system based on soft computing. We discuss the advantages of the system and also report our experimental results over the KDD99 dataset. The results show that the proposed approach can improve the detection performance of the NIDSs, Experiment results clearly show that soft computing approach could play a major role for intrusion detection.
  • Keywords
    Association rules; Computer networks; Computer security; Data privacy; Data security; Fuzzy sets; Fuzzy systems; Information security; Information technology; Intrusion detection;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Data, Privacy, and E-Commerce, 2007. ISDPE 2007. The First International Symposium on
  • Conference_Location
    Chengdu
  • Print_ISBN
    978-0-7695-3016-1
  • Type

    conf

  • DOI
    10.1109/ISDPE.2007.56
  • Filename
    4402748