Method of evolutionary neural network-based intrusion detection

被引：0
|
作者：
Wang, L [1 ]
Yu, G [1 ]
Wang, GR [1 ]
Wang, D [1 ]
机构：
[1] Northeastern Univ, Sch Informat Sci & Engn, Shenyang 110004, Peoples R China
来源：
2001 INTERNATIONAL CONFERENCES ON INFO-TECH AND INFO-NET PROCEEDINGS, CONFERENCE A-G: INFO-TECH & INFO-NET: A KEY TO BETTER LIFE | 2001年
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D O I：
暂无
中图分类号：
TP18 [人工智能理论];
学科分类号：
081104 ; 0812 ; 0835 ; 1405 ;
摘要：
Intrusion detection is an important defence to protect the security of computer network system. With an integrated technique of genetic algorithm and neural network, a method of evolutionary neural network is proposed to perform intrusion detection in this paper. It is a robust enough, parallel and nonlinear dynamic processing system to satisfy with requirements of real-time processing and prediction with high accuracy. With the new method, the structure of neural network is optimized using genetic algorithm. The obtained neural network model is thus used for intrusion detection and prealarm with high accuracy.
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页码：E13 / E18
页数：6
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