计算机与数字工程Issue(7)：1291-1294,1299,5.DOI:10.3969/j.issn1672-9722.2015.07.029
基于主成分分析与 Simhash 的入侵检测方法
Intrusion Detection Method Based on Principal Component Analysis and Simhash
摘要
Abstract
An intrusion detection method based on principal component analysis and simhash is presented .The eigen‐value of property is getting by PCA and used as the weight ,then every data fingerprint is getting by the thought of simhash . The difference between normal dataset and abnormal dataset is obvious that compared with the Hamming distance between the data fingerprients .Simulated experiments using KDD99 dataset ,compared with current common method based on SVM , indicate that on the basis of guarantee the accuracy ,this method has increased significantly in timeliness .关键词
主成分分析/Simhash/入侵检测/网络数据指纹/Hamming 距离Key words
principal component analysis/Simhash/intrusion detection/data fingerprients/Hamming distance分类
信息技术与安全科学引用本文复制引用
周龙泉,卫文学..基于主成分分析与 Simhash 的入侵检测方法[J].计算机与数字工程,2015,(7):1291-1294,1299,5.基金项目
青岛经济技术开发区重点科技发展计划项目（编号2013-1-62）资助。 （）
