Efficient Pattern Matching Algorithm for Intrusion Detection Systems
To overcome the defects of low efficiency of pattern matching in intrusion detection systems (IDS), an efficient pattern matching algorithm is proposed. The proposed algorithm first preprocesses pattern to record pattern information, then it recursive compares the nodes to find the most common part...
        Saved in:
      
    
          | Published in | Applied Mechanics and Materials Vol. 511-512; no. Sensors, Mechatronics and Automation; pp. 1178 - 1184 | 
|---|---|
| Main Author | |
| Format | Journal Article | 
| Language | English | 
| Published | 
        Zurich
          Trans Tech Publications Ltd
    
        01.02.2014
     | 
| Subjects | |
| Online Access | Get full text | 
| ISBN | 9783038350170 3038350176  | 
| ISSN | 1660-9336 1662-7482 1662-7482  | 
| DOI | 10.4028/www.scientific.net/AMM.511-512.1178 | 
Cover
| Summary: | To overcome the defects of low efficiency of pattern matching in intrusion detection systems (IDS), an efficient pattern matching algorithm is proposed. The proposed algorithm first preprocesses pattern to record pattern information, then it recursive compares the nodes to find the most common part of pattern to improve efficiency. The proposed algorithm also appends auxiliary structure of m nodes in pattern to reduce time and space complexity. Theoretical analysis shows that for the subject with n nodes, the time complexity of the proposed algorithm is, and space complexity is . Detailed experimental results and comparisons with existed algorithms show that the proposed algorithm outperforms current state-of-the-art algorithms in terms of time efficiency, space efficiency and matching ratio. | 
|---|---|
| Bibliography: | Selected, peer reviewed papers from the 2013 International Conference on Sensors, Mechatronics and Automation (ICSMA 2013), December 24-25, 2013, Shenzhen, China ObjectType-Article-1 SourceType-Scholarly Journals-1 ObjectType-Feature-2 content type line 14 content type line 23  | 
| ISBN: | 9783038350170 3038350176  | 
| ISSN: | 1660-9336 1662-7482 1662-7482  | 
| DOI: | 10.4028/www.scientific.net/AMM.511-512.1178 |