• 开发研究与设计技术 •

### 基于免疫原理的网络故障多层检测模型

1. (太原理工大学计算机科学与技术学院，太原 030024)
• 收稿日期:2011-07-25 出版日期:2011-12-20 发布日期:2011-12-20
• 作者简介:田玉玲(1963－)，女，副教授、博士、CCF高级会员，主研方向：人工智能；袁兴芳、张志惠，硕士研究生

### Multilayer Detection Model for Network Fault Based on Immune Principle

TIAN Yu-ling, YUAN Xing-fang, ZHANG Zhi-hui

1. (College of Computer Science and Technology, Taiyuan University of Technology, Taiyuan 030024, China)
• Received:2011-07-25 Online:2011-12-20 Published:2011-12-20

Abstract: In order to reduce the fault detection rate and improve the anti-fraud capacity in network fault detection, a multi-layer model for network fault detection is proposed based on the hierarchical structure of biological immune system. According to the differentiation mechanism of dendritic cells, an immune model composed of the inherent detection layer, fuzzy judgment layer and adaptive detection layer is established. It reduces the network fault detection rate through the double detection of inherent detection layer, fuzzy judgment layer and uses the adaptive detection layer to conduct self-learning on unknown faults. Experimental result shows that this model has high detection rate and low false reject rate.