DocumentCode
1884713
Title
An Improved Multi-pattern Matching Algorithms in Intrusion Detection
Author
Cheng Ke-qin ; Deng Lin ; Wang Hui
Author_Institution
Sch. of Comput. & Inf., Hefei Univ. of Technol., Hefei, China
fYear
2013
fDate
16-17 Jan. 2013
Firstpage
203
Lastpage
205
Abstract
Multi-pattern matching algorithms play a key role in the intrusion detection. The two classical pattern matching algorithms are researched, and an improved WU-MANBER algorithm is used in the intrusion detection. The experiment showed that the improved WU-MANBER algorithm is about 20% fewer in matching number than AC-BNFA algorithm, and the number of CPU operation cycle reduce 20%.
Keywords
pattern matching; security of data; AC-BNFA algorithm; CPU operation cycle; improved WU-MANBER algorithm; improved multipattern matching algorithms; intrusion detection; Algorithm design and analysis; Data structures; Educational institutions; Instruments; Intrusion detection; Organizations; Pattern matching; AC-BNFA; WU-MANBER; intrusion detection;
fLanguage
English
Publisher
ieee
Conference_Titel
Measuring Technology and Mechatronics Automation (ICMTMA), 2013 Fifth International Conference on
Conference_Location
Hong Kong
Print_ISBN
978-1-4673-5652-7
Type
conf
DOI
10.1109/ICMTMA.2013.57
Filename
6493703
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