计算机工程2011，Vol.37Issue(5)：134-136,3.
基于知识约简的网络入侵特征提取
Network Intrusion Feature Extraction Based on Knowledge Reduction
摘要
Abstract
In order to improve the performance of Intrusion Detection System(IDS), this paper proposes a feature extraction method based on knowledge reduction.Rough set theory is used to do the formal description for IDS.Knowledge reduction is used to extract attribute features.Information loss and information gain are individually used to control the discrete procedure of continuous value attributes and the reduction of attribute features.Experimental result justifies that the method can eliminate the redundant information and noise of initial data effectively.关键词
入侵检测/粗糙集/属性约简/特征提取Key words
intrusion detection/ rough set/ attribute reduction/ feature extraction分类
信息技术与安全科学引用本文复制引用
史志才,夏永祥..基于知识约简的网络入侵特征提取[J].计算机工程,2011,37(5):134-136,3.基金项目
上海市教委科研创新基金资助项目(09YZ370) （09YZ370）
上海工程技术大学科研基金资助项目(07-22) （07-22）
