Search on Method of Netwok Intrusion Detection Based on Support Vector Machine with Pre-extracting Support Vector

被引：0

作者：

Yu, Shengchen ^{[1
]}

Sun, Limin ^{[1
]}

Xue, Yang ^{[2
]}

Guo, Hui ^{[1
]}

Wang, Xiaoju ^{[1
]}

Mei, Qunli ^{[3
]}

Zhang, Lianjun ^{[3
]}

机构：

[1] North China Univ Sci & Technol, Coll Comp Sci, Yanjiao 101601, Beijing East, Peoples R China

[2] Beijing Career Coll Policy Law, Beijing, Peoples R China

[3] China Gold Grp, Xinjiang Gold Beach Min Ind Ltd Co, Xian 838200, Peoples R China

来源：

ENGINEERING SOLUTIONS FOR MANUFACTURING PROCESSES, PTS 1-3 | 2013年 / 655-657卷

关键词：

Intrusion Intrusion Detection; Support Vector; Network Security; Center Distance Ratio;

D O I：

10.4028/www.scientific.net/AMR.655-657.1787

中图分类号：

TH [机械、仪表工业];

学科分类号：

0802 ;

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 intrusion detection system(LDS) based on support vector machine with pre-extracting support needs less training time under the same detection performance condition.

引用

页码：1787 / +

页数：2