• DocumentCode
    3237892
  • Title

    Data Mining Approaches for Signatures Search In Network Intrusion Detection

  • Author

    Bing, Hu Zheng ; Shirochin, V.P.

  • fYear
    2005
  • fDate
    5-7 Sept. 2005
  • Firstpage
    392
  • Lastpage
    398
  • Abstract
    Network security has been a very important issue, since the rising evolution of the Internet. There has been an increasing need for security systems against the external attacks from the hackers. One important type is the intrusion detection system (IDS). There are two major categories of the analysis techniques of IDS: the anomaly detection and the misuse detection.Here we focus on misuse detection, the misuse detection collected the attack signatures in a database as the same as virus protection software to detect the relate attacks, we propose an algorithm to use the known signature to find the signature of the related attack quickly.
  • Keywords
    Internet; data mining; digital signatures; telecommunication computing; telecommunication security; Internet; anomaly detection; attack signature search; data mining; misuse detection; network intrusion detection system; network security; virus protection software; Computer networks; Conferences; Data acquisition; Data mining; Data security; Databases; Intelligent networks; Intrusion detection; National security; Protection; Data Mining; Intrusion Detection System; Network Security;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Intelligent Data Acquisition and Advanced Computing Systems: Technology and Applications, 2005. IDAACS 2005. IEEE
  • Conference_Location
    Sofia
  • Print_ISBN
    0-7803-9445-3
  • Electronic_ISBN
    0-7803-9446-1
  • Type

    conf

  • DOI
    10.1109/IDAACS.2005.283010
  • Filename
    4062161