Network Intrusion Detection Method Based on Agent and SVM

摘要：

It is necessary to study a kind of network intrusion detection method which realizes faster attack detection and response. In order to improve the network intrusion detection precision further, Network intrusion detection method based on Agent and SVM is proposed to recognize the intrusion types in the paper. The network intrusion detection system based Agent and SVM are created. Then, network Intrusion detection model based on SVM is gained, and the process of intrusion detection by SVM is given. The experimental results demonstrate that the presented method in this paper is better than artificial neural network.

关键词： network intrusion detection support vector machine Agent

作者: Guan Xiaoqing Guo Hebin Chen Luyi

作者单位: Beijing Vocational Collegeof Electronic ScienceBeijing 100026,P.R. China Northern Beijing VocationalEducation InstituteBeijing 101400, P.R. China Beijing Vocational College of Electronic Science Beijing 100026, P.R. China

会议类型: 国际会议

会议名称: 2010 2nd IEEE International Conference on Information Management and Engineering(2010年IEEE第二届信息管理与工程国际会议 IEEE ICIME 2010)

会议地点: 成都

会议语种:英文

页码: 1-4

在线出版日期: 2010-04-16（万方平台首次上网日期，不代表论文的发表时间）