• DocumentCode
    1614918
  • Title

    Research on Clustering Technique in Network Intrusion Detection

  • Author

    Cui, Kuiyong

  • Author_Institution
    Inf. Eng. Dept., Zibo Vocational Inst., Zibo, China
  • fYear
    2012
  • Firstpage
    1203
  • Lastpage
    1205
  • Abstract
    This paper mainly introduces the intrusion detection system based on data mining algorithms. The intrusion detection system is divided into three parts: first we need to preformat the original data on the local machine or on the Internet, then using data mining algorithms for outlier detection, in the end the results of preformatted data are displayed visually.
  • Keywords
    Internet; data mining; pattern clustering; security of data; Internet; clustering technique research; data mining algorithms; intrusion detection system; network intrusion detection; Classification algorithms; Clustering algorithms; Data mining; Databases; Intrusion detection; Standards; clustering technique; network intrusion detection; outlier detection;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Industrial Control and Electronics Engineering (ICICEE), 2012 International Conference on
  • Conference_Location
    Xi´an
  • Print_ISBN
    978-1-4673-1450-3
  • Type

    conf

  • DOI
    10.1109/ICICEE.2012.319
  • Filename
    6322608
    • Link To Document
    https://search.isc.ac/dl/search/defaultta.aspx?DTC=49&DC=1614918