• DocumentCode
    2297028
  • Title

    A Mobile Agent and Snort Based Distributed Intrusion Detection System

  • Author

    Ye, Xiao-Ling ; Zhang, Ying-Chao ; Zhang, Chao-Long ; Chen, Chao ; Huang, Xin-Yi

  • Author_Institution
    Nanjing Univ. of Inf. Sci. & Technol., Nanjing, China
  • Volume
    1
  • fYear
    2009
  • fDate
    19-21 May 2009
  • Firstpage
    281
  • Lastpage
    285
  • Abstract
    Nowadays with the growing scale of computer network as well as the number of nodes, the traditional method of mobile agent based distributed intrusion detection system may cause severe problem of network congestion and time delay, for the data processing of all the nodes are converged to the central node which will lead to a mass data processing on it. In this article we bring up a mobile agent and snort based distributed intrusion detection system (short for MASDIDS). It does data collection, analysis and response on the supervisory node and the result is analyzed by mobile agent. Therefore, the central server only has to take down the intrusion behavior and manage components, because most calculation is distributed to the supervisory nodes. The problem of excessive flow in the system processing center will not exist, so that the real-time of the system will be enhanced.
  • Keywords
    computer networks; data analysis; delays; mobile agents; network servers; security of data; central node; central server; computer network; data analysis; data collection; distributed intrusion detection system; mass data processing; mobile agent; network congestion; snort; system processing center; time delay; Chaos; Data analysis; Data processing; Information science; Intrusion detection; Mobile agents; Network topology; Scattering; Software engineering; Switches;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Software Engineering, 2009. WCSE '09. WRI World Congress on
  • Conference_Location
    Xiamen
  • Print_ISBN
    978-0-7695-3570-8
  • Type

    conf

  • DOI
    10.1109/WCSE.2009.310
  • Filename
    5319109