• DocumentCode
    1791090
  • Title

    Research on Efficient Pattern Matching Algorithms in Intrusion Detection System

  • Author

    Liu Xiaoxing ; Yu Ning

  • Author_Institution
    Hebei Coll. of Sci. & Technol., Baoding, China
  • fYear
    2014
  • fDate
    25-26 Oct. 2014
  • Firstpage
    509
  • Lastpage
    512
  • Abstract
    The development of computer network technology has changed the single machine oriented calculation model, however, the risks of network intrusion also are increasing greatly. Design security measures to prevent unauthorized access to system resources and data become an important and urgent problem in the network security field. At present, it is not realistic to completely avoid the security incidents. What researchers can do is try to discover the intrusion as soon as possible to take effective measures to plug the loopholes and repair the system, which is called as intrusion detection research. Intrusion detection plays an important role in system security. This paper firstly presents the necessity, definition and principles of intrusion detection. Then we introduce the most popular intrusion detection algorithms: Boyer-Moore (BM) and Aho-Corasic (AC) algorithms. Finally the improved algorithms based on them, Comments-Walter algorithm and IACBM, are presented in this paper.
  • Keywords
    authorisation; computer network security; AC algorithms; Aho-Corasic algorithms; BM algorithms; Boyer-Moore algorithms; Comments-Walter algorithm; IACBM; computer network technology; data access; network intrusion detection system; network security field; security incidents; system resources; system security; unauthorized access; Algorithm design and analysis; Automata; Computers; Intrusion detection; Pattern matching; Time complexity; Aho-Corasic (AC); Boyer-Moore (BM); Comments-Walter; IACBM; Intrusion Detection;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Intelligent Computation Technology and Automation (ICICTA), 2014 7th International Conference on
  • Conference_Location
    Changsha
  • Print_ISBN
    978-1-4799-6635-6
  • Type

    conf

  • DOI
    10.1109/ICICTA.2014.129
  • Filename
    7003592