The Research and Application of Improved BP Neural Network in Intrusion Detection

被引：0
|
作者：
Zhao, Zhiwei [1 ]
机构：
[1] TangShan Coll, Dept Comp Sci & Technol, Tangshan, Peoples R China
来源：
CEIT 2012: 2012 INTERNATIONAL CONFERENCE ON CIVIL ENGINEERING AND INFORMATION TECHNOLOGY | 2012年
关键词：
BP Neural Network; Intrusion Detection; LMBP Algorithm;
D O I：
暂无
中图分类号：
TP39 [计算机的应用];
学科分类号：
081203 ; 0835 ;
摘要：
BP neural network is a good way in the Intrusion Detection, and has many merits. On the other hand, there exist drawbacks, such as oscillation or volatilization, low convergence rate, local optimization, and false saturation. An improved BP neural network method is proposed, which joints the Levenberg-Marquardt optimal algorithm, and it is used in the intrusion detection. Based on the real data, the test and analysis is done. Experiment results show that proposed method can achieve better performance in aspect of rate of detection, misreporting and error.
引用
收藏
页码：9 / 13
页数：5
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