Intrusion detection system based on radial basis function (RBF) neural networks

被引：0

作者：

Qin Cuimang ^{[1
]}

Yang Qiuxiang ^{[1
]}

机构：

[1] N Univ China, Sch Elect & Comp Sci & Technol, Dept Network Engn, Taiyuan 030051, Peoples R China

来源：

ISTM/2007: 7TH INTERNATIONAL SYMPOSIUM ON TEST AND MEASUREMENT, VOLS 1-7, CONFERENCE PROCEEDINGS | 2007年

关键词：

intrusion detection system (IDS); radial basis function (RBF); neural networks;

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：

This paper introduces the intrusion detection system based on RBF neural networks, including the fundamental of RBF neural net-works and the intrusion detection system. the superiority that RBF neural networks applied into the intrusion detection system, the learning algorithm of RBF neural networks and the specific model of RBF neural networks integrated with intrusion detection system. Finally it draws on a conclusion and points out what we should do in the future research.

引用

页码：2639 / 2642

页数：4