基于数据挖掘的分布式协同入侵检测  

Distributed collaborative intrusion detection based on data mining

作　　者：韩宗芬[1] 刘科[1] 金海[1] 郭立[1] 

机构地区：[1]华中科技大学计算机科学与技术学院

出　　处：《华中科技大学学报（自然科学版）》2002年第7期33-35,共3页Journal of Huazhong University of Science and Technology(Natural Science Edition)

基　　金：湖北省自然科学重点基金资助项目 (2 0 0 1ABA0 0 1)

摘　　要：将数据挖掘技术用于协同入侵检测 ,提出基于数据挖掘的协同入侵规则生成算法 ,采用基于数据挖掘的分布式协同入侵检测技术 ,可以有效的检测协同入侵 。With the prevalence of computer network, network crimes presented the trends such as the simplification of attack tools, the contraposition of attack purpose, the systematization of attack modes, the abidance of attack time. Distributed collaborative intrusion detection was the security defense mechanism against these new trends. The distributed collaborative intrusion detection technique based on data mining was used. This technique could detect not only collaborative intrusions efficiently, but also the unknown collaborative attack modes.

关 键 词：数据挖掘 分布式协同入侵检测 关联规则 规则生成算法 协同攻击模式 计算机安全 

分 类 号：TP309[自动化与计算机技术—计算机系统结构]