• DocumentCode
    3263797
  • Title

    The application of bioinformatics to network intrusion detection

  • Author

    Takeda, Keiji

  • Author_Institution
    Carnegie Mellon CyLab Japan, Kobe, Japan
  • fYear
    2005
  • fDate
    11-14 Oct. 2005
  • Firstpage
    130
  • Lastpage
    132
  • Abstract
    In this paper, a novel approach that applies bioinformatics algorithms to network intrusion detection is proposed. Network intrusion detection is the problem to detect security violations on or through a network. Misuse detection approach of network intrusion detection which is widely deployed on today´s network environment requires precise signature data and occasionally fails to detect variants of known attacks or new types of attack.
  • Keywords
    security of data; telecommunication security; bioinformatics; network intrusion detection; security violation detection; signature data; Bioinformatics; DNA; Data security; Intrusion detection; Mathematics; Monitoring; Pattern matching; Protocols; Sequences; Telecommunication traffic;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Security Technology, 2005. CCST '05. 39th Annual 2005 International Carnahan Conference on
  • Print_ISBN
    0-7803-9245-0
  • Type

    conf

  • DOI
    10.1109/CCST.2005.1594860
  • Filename
    1594860