Networks Intrusion Detection Algorithm Based on SVM with pre-extracting support vector

摘要：

Intrusion detection algorithm based on support vector machine with pre-extracting support vector is proposed which combines the center distance ratio and classification algorithm. Given proper thresholds, we can use the support vector as a substitute for the training examples. Then the scale of dataset is decreased and the performance of support vector machine is improved in the detection rate and the training time. The experiment result has shown that the IDS based on support vector machine with preextracting support needs less training time under the same detection performance condition.

关键词： Intrusion Intrusion Detection Support Vector Network Security Center Distance Ratio

作者: WANG Shu SHENG Jianling YU Gui xian YU Sheng chen YU Sheng qin LEI Dong

作者单位: Department of Computer,North China University of Science & Technology,Beij ing,101601 ,China Beijing Zhao Fang Investment Trust Co.,Ltd.Beijing 100028,China Gu Yuan Earthquake Platform of Earthquake Bureau of Ning Xia Province,Gu Yuan 756000,China

会议类型: 国际会议

会议名称: 2011 3rd International Conference on Computer and Network Technology(ICCNT 2011)(2011第三届IEEE计算机与网络技术国际会议)

会议地点: 太原

会议语种:英文

页码: 177-179

在线出版日期: 2011-02-26（万方平台首次上网日期，不代表论文的发表时间）