| 基于融合免疫算法和RBF网络的入侵检测系统 |
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| 引用本文： | 史长琼,陈 旭,唐贤瑛.基于融合免疫算法和RBF网络的入侵检测系统[J].计算机工程,2007,33(9):160-162. |
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| 作者姓名： | 史长琼 陈 旭 唐贤瑛 |
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| 作者单位： | [1]长沙理工大学计算机与通信工程学院,长沙410076 [2]湖南大学计算机与通信工程学院,长沙410082 |
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| 基金项目： | 湖南省教育厅自然科学基金
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湖南省自然科学基金 |
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| 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。
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| 关 键 词： | 入侵检测 免疫算法 RBF网络 双层分类 |
| 文章编号： | 1000-3428（2007）09-0160-03 |
| 修稿时间： | 2006-05-26 |
Intrusion Detection System Based on Combination of Immune Arithmetic and RBF Network |
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| SHI Changqiong,CHEN Xu,TANG Xianying.Intrusion Detection System Based on Combination of Immune Arithmetic and RBF Network[J].Computer Engineering,2007,33(9):160-162. |
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| Authors: | SHI Changqiong CHEN Xu TANG Xianying |
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| Affiliation: | (1. College of Computer and Communication Engineering, Changsha University of Science & Technology, Changsha 410076; 2. College of Computer and Communication Engineering, Hunan University, Changsha 410082) |
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| 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. |
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| Keywords: | Intrusion detection Immune arithmetic RBF network Double-layer classification |
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