吉林大学学报（理学版）2009，Vol.47Issue(6)：1264-1270,7.
基于异常检测的入侵检测技术
Techniques of IDS Based on Anomaly Detection
摘要
Abstract
The authors provided a comprehensive survey of anomaly detection systems used in the recent years. Intrusion detection was divided into 3 kinds based on technologies used. They are statistical anomaly detection, machine learning based anomaly detection and data mining based anomaly detection. The authors described the various features of anomaly detection technologies in details, represented the algorithms used in the current Anomaly Intrusion Detection Systems, the implements of the algorithms, and also compared the effects of various detection algorithms through the experiment.关键词
异常检测/机器学习/统计异常检测/数据挖掘Key words
anomaly detection/ machine learning/ statistical anomaly detection/ data mining分类
信息技术与安全科学引用本文复制引用
胡亮,金刚,于漫,任斐,任维武..基于异常检测的入侵检测技术[J].吉林大学学报（理学版）,2009,47(6):1264-1270,7.基金项目
国家自然科学基金(批准号: 60873235)、教育部新世纪优秀人才支持计划项目基金(批准号: NCET-06-0300)、吉林省科技发展计划重点项目基金(批准号: 20080318)和吉林大学"985工程"研究生创新基金(批准号: 20080244). （批准号: 60873235）
