【作者】 罗安坤； 李甦；

【Author】 Ankun Luo Su Li (College of Information,Yunnan University,Kunming 650091)

【机构】 云南大学信息学院；

【摘要】 本文在简单介绍了入侵检测系统和遗传算法后,提出了一种基于粗粒度模型遗传算法的网络入侵检测系统,使各个处理器(终端点)能够并行的进行遗传算法的操作,让种群的进化在所有检测点同时进行并通过迁移相互交流,加速了优秀个体群的生成,同时较合适的设计了适应度函数,这样遗传“基因”的取舍和利用将更加合理,使算法的性能和运行速度得到了提高,充分发挥了粗粒度模型遗传算法在网络入侵检测系统中的应用。更多还原

【Abstract】 put forward a Net-work Intrusion Detection System (NIDS) based on coarse-grained model genetic algorithm after briefly analysis all kinds of Intrusion Detection System (IDS),make all processor (terminal points) can do genetic algorithm by attributed manner,and make the evolution of chromosomes can prosecution in all detection points simultaneity,all processor can intercommunion by transplant too,so accelerate the gets of super excellence genes.At the same time,redesign a reasonable fitness function,let the use of “gent” is more reasonable, develop the performance and speed of the arithmetic,make full use of the genetic algorithm in NIDS.更多还原