Abstract: Intrusion detection technology is a very important research field on network and information security technology. In order to improve the distinguish capability of intrusion detection system, immune arithmetic and RBF network are combinated in the intrusion detection system, which is a double-layer classifiable structure. Experimental results show that the intrusion detection system based on the combination of immune arithmetic and RBF network can efficiently distinguish four attack types.

Key words: Intrusion detection, Immune arithmetic, RBF network, Double-layer classification

摘要： 入侵检测技术是网络信息安全技术中很重要的一个研究领域。为了提高入侵检测系统对入侵类型的识别能力，在该系统中将免疫算法与RBF网络融合起来，形成一种双层分类结构。试验结果表明，基于融合免疫算法和RBF网络的入侵检测系统能有效地区分4种入侵类型。

关键词: 入侵检测, 免疫算法, RBF网络, 双层分类

CLC Number: 

• TP301.6