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
Link To Document :
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