• DocumentCode
    3169109
  • Title

    Intrusion Detection System Based on Data Mining

  • Author

    Jiuhua, Zhan

  • Author_Institution
    Leshan Teachers Coll., Leshan
  • fYear
    2008
  • fDate
    23-24 Jan. 2008
  • Firstpage
    402
  • Lastpage
    405
  • Abstract
    Analyzed recent IDS models, the development of IDS (Intrusion Detection System), and the current and gives a brief introduction to DM (Data Mining) technology. Presented a framework of IDS based on data mining for resolving the current problems IDS is facing. The system that performs anomaly detection can detect intrusions known and unknown, reduce omissions and misstatements, improve accuracy and speed of intrusion detection and has good adaptive capacity and scalability.
  • Keywords
    data mining; security of data; anomaly detection; data mining; intrusion detection system; Computer crime; Data mining; Data security; Databases; Electrons; Face detection; Intrusion detection; Libraries; Physics; Predictive models;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Knowledge Discovery and Data Mining, 2008. WKDD 2008. First International Workshop on
  • Conference_Location
    Adelaide, SA
  • Print_ISBN
    978-0-7695-3090-1
  • Type

    conf

  • DOI
    10.1109/WKDD.2008.12
  • Filename
    4470424
    • Link To Document
    https://search.isc.ac/dl/search/defaultta.aspx?DTC=49&DC=3169109