• DocumentCode
    2616678
  • Title

    Anomaly Network Detection Model Based on Mobile Agent

  • Author

    Yu, Wang ; Xiaohui, Cheng ; Sheng, Wang

  • Author_Institution
    Guilin Univ. of Technol., Guilin, China
  • Volume
    1
  • fYear
    2011
  • fDate
    6-7 Jan. 2011
  • Firstpage
    504
  • Lastpage
    507
  • Abstract
    In order to figure out the problems which the existing intrusion detection system models have, such as more significant network transmission load, lower detection efficiency, limited data process ability. The paper has discussed an intrusion detection model based on mobile agent technology, and expatiated the method which analyzing data agent has adopted utilizing Markov model principle, and carried out simulation test of model performance on the platform Aglets from IBM corporation. The experiment result shows that the model has more adaptable and the detecting intrusion algorithm for analyzing data agent has more detection accuracy.
  • Keywords
    Markov processes; mobile agents; security of data; Markov model principle; anomaly network detection model; data agent; data process ability; detection efficiency; intrusion detection system models; mobile agent technology; network transmission load; Adaptation model; Analytical models; Data models; Intrusion detection; Markov processes; Mobile agents; Protocols; Aglets; Anomaly network detection; Markov model; Mobile agent;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Measuring Technology and Mechatronics Automation (ICMTMA), 2011 Third International Conference on
  • Conference_Location
    Shangshai
  • Print_ISBN
    978-1-4244-9010-3
  • Type

    conf

  • DOI
    10.1109/ICMTMA.2011.128
  • Filename
    5720831