• DocumentCode
    2375263
  • Title

    Two Enhanced BM Algorithm in Pattern Matching

  • Author

    Yong-qiang, Zhu

  • Author_Institution
    Coll. of Comput. & Inf. Eng., Lishui Univ., Lishui, China
  • fYear
    2011
  • fDate
    15-16 May 2011
  • Firstpage
    341
  • Lastpage
    346
  • Abstract
    Data packet capturing and analysis are two of the most important components in the intrusion detection system (IDS). However the speed of data packet capture and analysis doesn´t match the network application, which causes a general problem in IDS and the ratio of data packet lost is quite high. Various intrusion detection technologies are widely used to solve this problem. In those technologies, the pattern matching based on knowledge is the most popular technology. It compares a series of attack characteristic with user´s activity that has already been discovered, and then intrusion will be detected. Its match speed affects the rate of drop packet, and false alarm, the accuracy and the real-time performance of system in a direct way. It plays an essential role in the efficiency of intrusion detection system. As network speed and capacity is growing rapid, it is necessary to improve the algorithm of pattern matching to follow the currency. This article describes a quite mature algorithm in the intrusion detection system-BM algorithm, based on which some improvements have been proposed.
  • Keywords
    search problems; security of data; string matching; BM algorithm; Boyer-Moore algorithm; IDS system; data packet analysis; data packet capture; data packet lost; false alarm; intrusion detection system; pattern matching; Algorithm design and analysis; Approximation algorithms; Intrusion detection; Pattern matching; Safety; BM Algorithm; Enhanced; Intrusion Detection; Pattern Matching;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Digital Media and Digital Content Management (DMDCM), 2011 Workshop on
  • Conference_Location
    Hangzhou
  • Print_ISBN
    978-1-4577-0271-6
  • Electronic_ISBN
    978-0-7695-4413-7
  • Type

    conf

  • DOI
    10.1109/DMDCM.2011.46
  • Filename
    5959760