Improved Support Vector Machine Wireless Network Security Detection Algorithm Model

摘要：

　　This paper proposed a support vector m achine SVM algorithm for W LAN intrusion detection,first calculates the inform ation gain of network intrusion data,and selects the characteristics of properties having a greater im pact on the classification from the raw data to optimize the parameters of SVM,Finally,an optimized SVM algorithm is used to detect the wireless network data to obtain the behavior of network detection.Simulation results show that model of SVM-based WLAN intrusion detecti on has a high correct detecting rate,a low negative rate and wrong alarm rate.

关键词： SVM WLAN information gain Intrusion detection

作者: Xiujian Lv ZhiCheng Sun Jing Wang

作者单位: Shijiazhuang Vocational and Technology Institute,Department of Information Engineering Shijiazhuang, Hebei College of Industry and Technology,Department of Computer Technology Shijiazhuang,China Shijiazhuang Engineering Vocational College,Department of Art & Design Shijiazhuang,China

会议类型: 国际会议

会议名称: the 2nd International Conference on Electronic & Mechanical Engineering and Information Technology (EMEIT-2012)(2012年电机工程与信息技术国际会议)

会议地点: 沈阳

会议语种:英文

页码: 2353-2356

在线出版日期: 2012-09-26（万方平台首次上网日期，不代表论文的发表时间）