基于改进遗传算法的网络入侵检测  

Network Intrusion Detection Based on Improved Genetic Algorithm

作　　者：刘文涛[1] 

机构地区：[1]武汉工业学院计算机与信息工程系,武汉430023

出　　处：《重庆工商大学学报（自然科学版）》2010年第5期476-480,共5页Journal of Chongqing Technology and Business University:Natural Science Edition

摘　　要：为了获得完备的入侵检测规则,使用一种改进遗传算法来生成规则,该算法使用排挤和梯度运算来获取局部和全局最优解,详细分析了利用该算法生成入侵规则的具体实现过程,对染色体编码,适应度函数以及遗传算子进行了设计和实现;在网络数据集KDDCup99上通过实验证明了此算法的有效性。In order to get complete intrusion detection rules,this paper uses the method based on an improved genetic algorithm which uses the crowding and gradient operator to produce intrusion detection rules.It can get the local and global optimal solutions.The realizing process of creating the intrusion detection rules using this algorithm is analyzed in detail.The chromosome code and fitness function and every operator are proposed.The experiments show that the algorithm is efficient on KDDCup99 data set.

关 键 词：遗传算法 梯度运算 入侵检测 KDDCup99 

分 类 号：TP393[自动化与计算机技术—计算机应用技术]