• DocumentCode
    1644836
  • Title

    Intrusion Detection Using SVM

  • Author

    Liu Wu ; Ren Ping ; Liu Ke ; Duan Hai-xin

  • Author_Institution
    Network Res. Center, Tsinghua Univ., Beijing, China
  • fYear
    2011
  • Firstpage
    1
  • Lastpage
    4
  • Abstract
    This paper considers anomaly detection using an improved probabilistic neural networks. We first introduce a Basic Adaptive Boost Algorithm (BABA) and analysis its drawbacks and then introduce an Improved Adaptive Boost Algorithm (IABA) to classify the detected event as normal or intrusive.
  • Keywords
    computer network security; neural nets; support vector machines; BABA; IABA; SVM; anomaly detection; basic adaptive boost algorithm; drawbacks analysis; improved adaptive boost algorithm; intrusion detection; probabilistic neural network; Classification algorithms; Intrusion detection; Neural networks; Neurons; Probabilistic logic; Support vector machine classification; Training;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Wireless Communications, Networking and Mobile Computing (WiCOM), 2011 7th International Conference on
  • Conference_Location
    Wuhan
  • ISSN
    2161-9646
  • Print_ISBN
    978-1-4244-6250-6
  • Type

    conf

  • DOI
    10.1109/wicom.2011.6040153
  • Filename
    6040153
    • Link To Document
    https://search.isc.ac/dl/search/defaultta.aspx?DTC=49&DC=1644836