• DocumentCode
    234986
  • Title

    Application Research on Retrospective Analysis System in Network Intrusion Detection

  • Author

    Wei Wu ; Nan Cheng ; Yubin Wang

  • Author_Institution
    Inf. Security Dept., First Res. Inst. of the Minist. of Public Security, Beijing, China
  • fYear
    2014
  • fDate
    15-16 Nov. 2014
  • Firstpage
    624
  • Lastpage
    627
  • Abstract
    In the wake of the rapid development of internet, the information security issue brought about by the internet has been increasingly prominent, e.g. data leakage and hacker attack. Despite that many protective measures have been proposed to solve those issues, such as building firewall, applying for secure routing technology and installing antivirus programs, those measures are unable to ensure the absolute security of the network and tracing the source of the issues. In order to realize the in-depth analysis on warning security risks in the network, this paper introduces several common methods of intrusion detection and the retrospective analysis technology, analyzes the advantage of retrospective analysis system compared to other common methods of intrusion detection, sets forth the design principle of the retrospective analysis system, and concludes that retrospective analysis system is superior to other intrusion detection systems based on an experiment.
  • Keywords
    Internet; security of data; Internet; antivirus programs; building firewall; data leakage; hacker attack; in-depth analysis; information security; network intrusion detection systems; retrospective analysis system; retrospective analysis technology; secure routing technology; warning security risks; Firewalls (computing); Internet; Intrusion detection; Ports (Computers); Real-time systems; Servers; Information Security; Internet Security; Intrusion Detection; Retrospective Analysis;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Computational Intelligence and Security (CIS), 2014 Tenth International Conference on
  • Conference_Location
    Kunming
  • Print_ISBN
    978-1-4799-7433-7
  • Type

    conf

  • DOI
    10.1109/CIS.2014.133
  • Filename
    7016971