Model of network intrusion detection system based on BP algorithm

被引：0
|
作者：
Wang, Y. [1 ,2 ]
Huang, G. X. [1 ]
Peng, D. G. [2 ]
机构：
[1] E China Normal Univ, Informat & Technol Inst, Shanghai 200062, Peoples R China
[2] Shanghai Univ Electric Power, Dept Informat & Control Technol, Shanghai 200041, Peoples R China
来源：
ICIEA 2006: 1ST IEEE CONFERENCE ON INDUSTRIAL ELECTRONICS AND APPLICATIONS, VOLS 1-3, PROCEEDINGS | 2006年
关键词：
D O I：
暂无
中图分类号：
TP [自动化技术、计算机技术];
学科分类号：
0812 ;
摘要：
Security has become an important issue for networks. Models of network intrusion detection system are important component of the issue. The research aims at the design and implementation of an Intrusion Detection System based on BP algorithm that can promptly detect attacks, no matter they are known or not. In this model, BP algorithm is used to learn about the normal users' behavior and the abnormal users' behavior. When the learning is over, a k-matching algorithm is given. The model is tested with the network traffic that contains both normal and abnormal data. In experiments, result proves the model is effective.
引用
收藏
页码：659 / 662
页数：4
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