A Hybrid Method of Rough Set and Support Vector Machine in Network Intrusion Detection

摘要：

In order to avoid the network intrusion, the network intrusion detection method is studied and developed. In the paper, a hybrid method of rough set and support vector machine are adopted to network intrusion detection. The detection model includes the data reduction by rough set and network intrusion recognition by support vector machine. The 680 cases are collected to study the superiority of the proposed in the paper, where 460 cases are applied as the training data and 220 cases are applied as the testing data. Normal support vector machine is adopted to compare with the hybrid method of rough set-support vector machine. The experimental results show that the detection accuracy of rough set-support vector machine detection method than that of support vector machine.

关键词： support veaor machine detection method network intrusion hybrid method

作者: Liu Zhiguo Kang Jincui Li Yuan

作者单位: ShijiaZhuang College ShijiaZhuang 050035,China

会议类型: 国际会议

会议名称: 2010 2nd International Conference on Signal Processing System(2010年信号处理系统国际会议 ICSPS 2010)

会议地点: 大连

会议语种:英文

页码: 561-563

在线出版日期: 2010-07-05（万方平台首次上网日期，不代表论文的发表时间）