• DocumentCode
    527541
  • Title

    IABA: An improved PNN Algorithm for anomaly detection in network security management

  • Author

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

  • Author_Institution
    Network Res. Center, Tsinghua Univ., Beijing, China
  • Volume
    1
  • fYear
    2010
  • fDate
    10-12 Aug. 2010
  • Firstpage
    335
  • Lastpage
    339
  • Abstract
    Anomaly Detection is very difficult in network security management. In this paper, we consider 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 management; computer network security; neural nets; anomaly detection; basic adaptive boost algorithm; improved probabilistic neural networks; network security management; probabilistic neural network; Artificial neural networks; Classification algorithms; Intrusion detection; Kernel; Probabilistic logic; Support vector machine classification; Training; Intrusion Detection System; Network Security; Probabilistic Neural Network;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Natural Computation (ICNC), 2010 Sixth International Conference on
  • Conference_Location
    Yantai, Shandong
  • Print_ISBN
    978-1-4244-5958-2
  • Type

    conf

  • DOI
    10.1109/ICNC.2010.5583161
  • Filename
    5583161
    • Link To Document
    https://search.isc.ac/dl/search/defaultta.aspx?DTC=49&DC=527541