Intrusion Detection System Based on Radial Basis Function (RBF) Neural Networks

摘要：

This paper introduces the intrusion detection system based on RBF neural networks, including the fundamental of RBF neural networks 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.

关键词： Intrusion Detection System (IDS) Radial Basis Function (RBF) Neural Networks

作者: QIN Cuimang YANG Qiuxiang

作者单位: Department of network engineering School of electronics and computer science and technology, North university of China, Taiyuan, 030051

会议类型: 国际会议

会议名称: 第七届国际测试技术研讨会

会议地点: 北京

会议语种:英文

在线出版日期: 2007-08-05（万方平台首次上网日期，不代表论文的发表时间）