Research of the intrusion detection approach based on the split-assembly BP neural network

被引：0
|
作者：
Hao, P [1 ]
Feng, LX [1 ]
机构：
[1] Wuhan Univ Technol, Coll Comp Sci & Technol, Wuhan 430070, Peoples R China
来源：
Proceedings of the Third International Symposium on Magnetic Industry (ISMI'04) & First International Symposium on Physics and IT Industry (ISITI'04) | 2005年
关键词：
D O I：
暂无
中图分类号：
T [工业技术];
学科分类号：
08 ;
摘要：
This paper describes a new intrusion detection approach based on the split and assembly of the neural network. The approach pre-treats the feature data and employs the capability of learning and quick classification that improves arithmetic, achieving the effect of detecting users' behaviors. In particular, the approach gains good perfomances in recognizing the unknown attacks, which hasn't been noticed before.
引用
收藏
页码：335 / 337
页数：3
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