基于改进遗传算法的网络入侵检测  

Improved Genetic Algorithm Based Network Intrusion Detection

作　　者：睢丹[1] 黄永灿[1] 

机构地区：[1]安阳师范学院软件学院,河南安阳455000

出　　处：《数字技术与应用》2016年第4期191-192,共2页Digital Technology & Application

摘　　要：传统的网络入侵检测方法准确率低,安全性较差。严重限制了计算机网络的进一步发展与应用。提出基于改进遗传算法的网络入侵检测算法,通过建立遗传计算数据信息向量权值,根据节点算法聚集簇数据估计计算判断遗传变异状态。计算出的估计值与自定义进化值进行比较判断筛选自组织变进化方向。运用粒子变异滤波方程式提取出网络数据遗传状态位置做出遗传进化过程。仿真实验表明,改进遗传算法对网络入侵检测率高,为计算机网络的安全提供了保障。the traditional method of network intrusion detection accuracy is low, poor security. Severely limits the further development of computer network and application. Network intrusion detection algorithm is proposed based on improved genetic algorithm, by establishing the genetic information vector weights calculation data, calculate according to the data aggregation cluster node algorithm estimates judge state of genetic variation. Calculate the estimate of screening compared with custom evolution value judgment self-organization evolution direction. By equation of particle variation and extract the network data make genetic evolution genetic state position. Simulation experiments show that the improved genetic algorithm for network intrusion detection rate is high, has provided the safeguard for the security of computer network.

关 键 词：网络安全 遗传算法 入侵检测 

分 类 号：TP393[自动化与计算机技术—计算机应用技术]