• DocumentCode
    2434771
  • Title

    A Distributed Intrusion Detection System Based on Agents

  • Author

    Liu, Jianxiao ; Li, Lijuan

  • Author_Institution
    Dept. of Comput. & Commun., Hunan Univ., Changsha
  • Volume
    1
  • fYear
    2008
  • fDate
    19-20 Dec. 2008
  • Firstpage
    553
  • Lastpage
    557
  • Abstract
    Due to the rapid growth of the network application, new kinds of network attacks are emerging endlessly. So it is critical to protect the networks from attackers and the intrusion detection technology becomes popular. On the basis of analyzing the defect of a kind of modern distributed intrusion detection system this article proposes a distributed intrusion detection system model based on agents. This system adopts the way which combines static agent and mobile agent, host-based intrusion detection system (IDS) and network-based intrusion detection system. The function of each module in the system is described in detail. The system uses mobile agent for decentralized data collection, data analysis and response, and has certain dynamic learning capability. The self-adapt ability of the system is strong and can solve the main problems of the modern system. Finally, the preliminary implementation of the module in this system like agent is given in detail and the systempsilas performance evaluation is presented.
  • Keywords
    mobile agents; security of data; data analysis; data collection; decentralized collection; distributed intrusion detection system; dynamic learning capability; mobile agents; network application; network-based intrusion detection system; performance evaluation; static agents; Application software; Centralized control; Communication industry; Computational intelligence; Computer networks; Conferences; Event detection; Intrusion detection; Mobile agents; Network servers;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Computational Intelligence and Industrial Application, 2008. PACIIA '08. Pacific-Asia Workshop on
  • Conference_Location
    Wuhan
  • Print_ISBN
    978-0-7695-3490-9
  • Type

    conf

  • DOI
    10.1109/PACIIA.2008.143
  • Filename
    4756621