• DocumentCode
    2690503
  • Title

    Reason for Hierarchical Self Organized Map-Based Intrusion Detection System Incapable of Increasing Detection Rate

  • Author

    Zhenying, Ma

  • Author_Institution
    Coll. of Comput. Sci. & Eng., Chongqing Univ., Chongqing, China
  • fYear
    2009
  • fDate
    16-17 May 2009
  • Firstpage
    150
  • Lastpage
    154
  • Abstract
    When the single-layered self organized map (SOM) is used for anomaly detection, ldquooverlaprdquo exists for five types of samples. The hierarchical SOM system, which increases classification granularity, can not effectively enhance the detection rate. Through analysis to clustering details in the hierarchical SOM system, the reason for a low detection rate of attack was found, and improvement were proposed based on the reason.
  • Keywords
    security of data; self-organising feature maps; anomaly detection; classification granularity; hierarchical self organized map-based intrusion detection system; single-layered self organized map; Computer science; Computer vision; Educational institutions; Electronic commerce; Intrusion detection; Neural networks; Neurons; Spatial databases; Usability; Watches; Hierarchical SOM; Intrusion Detection; Remote to Local attack;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Information Engineering and Electronic Commerce, 2009. IEEC '09. International Symposium on
  • Conference_Location
    Ternopil
  • Print_ISBN
    978-0-7695-3686-6
  • Type

    conf

  • DOI
    10.1109/IEEC.2009.36
  • Filename
    5175092