An artificial-neural-network-based multiple classifiers intrusion detection system

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

Abstract

In this paper, a neural network based algorithm is used in the intrusion detection. Moreover, we propose a fusion method combine several neural network classifiers. Experimental results show that the proposed method is an encouraging intrusion detection manner.

Original languageEnglish
Title of host publicationProceedings of the 2007 International Conference on Wavelet Analysis and Pattern Recognition, ICWAPR '07
PublisherInstitute of Electrical and Electronics Engineers Inc.
Pages683-686
Number of pages4
ISBN (Print)1424410665, 9781424410668
DOIs
StatePublished - 2007
Event2007 International Conference on Wavelet Analysis and Pattern Recognition, ICWAPR '07 - Beijing, China
Duration: 2 Nov 20074 Nov 2007

Publication series

NameProceedings of the 2007 International Conference on Wavelet Analysis and Pattern Recognition, ICWAPR '07
Volume2

Conference

Conference2007 International Conference on Wavelet Analysis and Pattern Recognition, ICWAPR '07
Country/TerritoryChina
CityBeijing
Period2/11/074/11/07

Keywords

  • Artificial neural networks
  • Intrusion detection
  • Multiple classifiers

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