Method of evolutionary neural network-based intrusion detection

Lina Wang, Ge Yu, Guoren Wang, Dong Wang

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

19 Citations (Scopus)

Abstract

Intrusion detection is an important defence to protect the security of computer network systems. With an integrated technique of genetic algorithm and neural network, a method of evolutionary neural networks is proposed to perform intrusion detection in this paper. It is a robust enough, parallel and nonlinear dynamic processing system to satisfy requirements of real-time processing and prediction with high accuracy. With the new method, the structure of the neural network is optimized using a genetic algorithm. The obtained neural network model is thus used for intrusion detection and prealarm with high accuracy.

Original languageEnglish
Title of host publication2001 International Conferences on Info-Tech and Info-Net
Subtitle of host publicationA Key to Better Life, ICII 2001 - Proceedings
EditorsQing Zhao, Y.X. Zhong
PublisherInstitute of Electrical and Electronics Engineers Inc.
Pages13-18
Number of pages6
ISBN (Electronic)0780370104, 9780780370104
DOIs
Publication statusPublished - 2001
Externally publishedYes
EventInternational Conferences on Info-Tech and Info-Net, ICII 2001 - Beijing, China
Duration: 29 Oct 20011 Nov 2001

Publication series

Name2001 International Conferences on Info-Tech and Info-Net: A Key to Better Life, ICII 2001 - Proceedings
Volume5

Conference

ConferenceInternational Conferences on Info-Tech and Info-Net, ICII 2001
Country/TerritoryChina
CityBeijing
Period29/10/011/11/01

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