计算机工程2012，Vol.38Issue(7)：99-101,3.DOI:10.3969/j.issn.1000-3428.2012.07.032
一种基于HGA和数据挖掘的AMG模型
AMG Model Based on HGA and Data Mining
摘要
Abstract
The paper proposes an Adaptive Model Generation(AMG) model based on Hybrid Genetic Algorithm(HGA) and data mining. An improved clustering algorithm is used to divide the normal/abnormal behavior library that is from network and system behavior records. HGA is used to dig out the invasion rules, the rules are put into the rule base, and detection is realized by hybrid detection module. Experimental results show that the AMG model can detect unknown intrusion with higher detection rate and lower false detection rate.关键词
数据挖掘/入侵检测/混合遗传算法/自适应模型生成/聚类算法/信息增益Key words
data mining/ intrusion detection/ Hybrid Genetic Algorithm(HGA)/ Adaptive Model Generation(AMG)/ clustering algorithm/information gain分类
信息技术与安全科学引用本文复制引用
魏德志,洪联系,林丽娜,王奇光..一种基于HGA和数据挖掘的AMG模型[J].计算机工程,2012,38(7):99-101,3.基金项目
福建省仿脑智能系统重点实验室开放课题基金资助项目(BLISSOS2010103) （BLISSOS2010103）
