• DocumentCode
    2688387
  • Title

    Research on intelligent intrusion prevention system based on Snort

  • Author

    Li, Hui ; Liu, Dihua

  • Author_Institution
    Grad. Sch., Changchun Univ. of Technol., Changchun, China
  • Volume
    1
  • fYear
    2010
  • fDate
    24-26 Aug. 2010
  • Firstpage
    251
  • Lastpage
    253
  • Abstract
    Due to the limitation of the firewall and intrusion detection system in the information security domain, intrusion prevention system (IPS) appeared. It is a new generation information security technology following the firewall and intrusion detection technique. It is also a secure product that protects the network and system in real time from attacking, and now becomes a hotspot of research in network security domain. This article mainly focuses on the support vector machine (SVM) applying to Snort intrusion detection system, then implements a small scale intelligent intrusion prevention system by combining Snort intrusion detection system and firewall.
  • Keywords
    authorisation; support vector machines; firewall; information security technology; intelligent intrusion prevention system; snort intrusion detection system; support vector machine; Databases; Educational institutions; Fires; Support vector machines; Snort; firewall; intrusion detection system; intrusion prevention system; support vector machine;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Computer, Mechatronics, Control and Electronic Engineering (CMCE), 2010 International Conference on
  • Conference_Location
    Changchun
  • Print_ISBN
    978-1-4244-7957-3
  • Type

    conf

  • DOI
    10.1109/CMCE.2010.5610483
  • Filename
    5610483