• DocumentCode
    507789
  • Title

    Intrusion Detection System Platform Based on Light-Weighted Hybrid Artificial Immune Algorithms

  • Author

    Jinyin Chen ; Dongyong Yang

  • Author_Institution
    Software Coll., Zhejiang Univ. of Technol., Hangzhou, China
  • Volume
    4
  • fYear
    2009
  • fDate
    14-16 Aug. 2009
  • Firstpage
    319
  • Lastpage
    324
  • Abstract
    Detectors generation algorithm plays an important role in IDS. In this paper, an IDS platform based on light-weighted HIDS is bought up. Firstly raw data is extracted by PCA for effective detection. And then detector generation algorithms based on NSA, SCSA, DCSA are implemented and simulated on PCA processed data. Tests have proved their efficiency. Hybrid intrusion detection is designed for real time detection and high detection rate. Finally, a comprehensive IDS platform is designed combining all above algorithms to compare performances and further study.
  • Keywords
    principal component analysis; security of data; PCA processed data; intrusion detection system platform; light-weighted hybrid artificial immune algorithms; Cloning; Educational institutions; Entropy; Feature extraction; Intrusion detection; Monitoring; Performance evaluation; Principal component analysis; Software algorithms; Testing; Artificial Immune algorithm; DCSA; GA; Hybrid; PCA; SCSA;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Natural Computation, 2009. ICNC '09. Fifth International Conference on
  • Conference_Location
    Tianjin
  • Print_ISBN
    978-0-7695-3736-8
  • Type

    conf

  • DOI
    10.1109/ICNC.2009.509
  • Filename
    5363078