• DocumentCode
    1870722
  • Title

    Proactive intrusion detection model based on autonomic computing

  • Author

    Qingtao Wu ; Lina Zhu ; Jibang Cao ; Ruijuan Zheng

  • Author_Institution
    Electronic and Information Engineering College, Henan University of Science and Technology, Luoyang, China 471003
  • fYear
    2012
  • fDate
    3-5 March 2012
  • Firstpage
    1601
  • Lastpage
    1604
  • Abstract
    To explore the passive detecting mechanism of traditional intrusion detection system, based on autonomic computing, an autonomic proactive intrusion detection model is proposed in this paper. Centered on an autonomic manager, this model introduces an auction mechanism in the agent coordination layer to perceive environmental changes, to manage and allocate resources, and to achieve active intrusion response. Experimental results show that through rational parameter configuration, the model can effectively improve adaptability and detection accuracy of IDS.
  • Keywords
    Agent coordination; Autonomic computing; Autonomic manager; Intrusion detection; Proactive detection; auction mechanism;
  • fLanguage
    English
  • Publisher
    iet
  • Conference_Titel
    Automatic Control and Artificial Intelligence (ACAI 2012), International Conference on
  • Conference_Location
    Xiamen
  • Electronic_ISBN
    978-1-84919-537-9
  • Type

    conf

  • DOI
    10.1049/cp.2012.1290
  • Filename
    6492897