计算机与数字工程2012，Vol.40Issue(11)：118-120,3.
基于动态SVM的网络入侵检测研究
Research of the Intrusion Detection Based on Dynamic Support Vector Machine
李成云 1支冬栋2
作者信息
- 1. 海军司令部 北京100841
- 2. 海军后勤部 北京100841
- 折叠
摘要
Abstract
Support vector machine classification approach is considered has good generalization performance especially in small number and non-linear of training samples. Combining with the real-time performance and adaptability of IDS, a novel IDS based on dynamic support vector machine is established. The updating method of system training datasets and classification model is described in detail. Finally, simulation experiment for this system is performed, the result shows that this system can effectively improve the classification excursion caused by datasets updating, and enhance the true positive rate of the IDS.关键词
支持向量机/入侵检测/数据集更新Key words
support vector machine/ intrusion detection/ dataset updating分类
信息技术与安全科学引用本文复制引用
李成云,支冬栋..基于动态SVM的网络入侵检测研究[J].计算机与数字工程,2012,40(11):118-120,3.
