DocumentCode
436595
Title
Multiple classifiers combination based on protocol analysis for network intrusion detection
Author
Guojun, Sungang Zhangli
Author_Institution
Sch. of Inf. & Eng., Beijing Univ. of Posts & Telecommun., China
Volume
2
fYear
2004
fDate
31 Aug.-4 Sept. 2004
Firstpage
1578
Abstract
As the network spreads to each corner of the world, computers are exposed to miscellaneous intrusion from the World Wide Web. We need effective intrusion detection system to protect our computers from these unauthorized or malicious actions. As pattern recognition method used in intrusion detection system, the limitation in traditional detection methods is cancelled. In this paper a new intrusion detection approach using multiclassifier combination based on protocol analysis is proposed. Experiment has been done on dataset in KDD-99 and the result shows that it is an effective method.
Keywords
Internet; pattern classification; protocols; security of data; telecommunication security; malicious action; multiple classifiers; network intrusion detection system; pattern recognition; protocol analysis; Application software; Computer bugs; Data security; Intrusion detection; Pattern recognition; Protection; Protocols; Telecommunication traffic; Web and internet services; Web sites;
fLanguage
English
Publisher
ieee
Conference_Titel
Signal Processing, 2004. Proceedings. ICSP '04. 2004 7th International Conference on
Print_ISBN
0-7803-8406-7
Type
conf
DOI
10.1109/ICOSP.2004.1441631
Filename
1441631
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