基于改进遗传算法的网络安全检测模型及系统构建  

The network security detection model based on improved genetic algorithm and system building

作　　者：曾兆敏[1] 

机构地区：[1]四川信息职业技术学院,四川广元628000

出　　处：《自动化与仪器仪表》2016年第10期204-205,207,共3页Automation & Instrumentation

摘　　要：网络检测系统根据收集、分析网络行为、安全日志、审计数据等获取信息,检测系统或网络是否存在违反安全策略的行为。文中简述遗传算法和网络安全检测系统后,提出基于粗粒度模型遗传算法网络检测系统,为满足系统要求设计适应度函数,确保遗传基因取舍和利用更为科学、合理。该系统主要由数据包采集模块、检测模块、响应模块等部分组成,充分发挥遗传算法在网络安全检测系统中的应用效果。The network testing system according to the collection,analysis of network behavior,security logs,audit data,such as access to information,check the system or network whether there is a violation of security policy.This paper briefly describes the genetic algorithm and the network security detection system,detection system based on coarse-grained model genetic algorithm network,to meet the requirements of the system design of fitness function,to ensure that the genetic selection and use of more scientific and reasonable.The system is mainly composed of packet acquisition module,test module,response module and other parts,give full play to the effect of genetic algorithm in the application of network security detection system.

关 键 词：改进遗传算法 网络安全检测系统 主要模块 

分 类 号：TP273[自动化与计算机技术—检测技术与自动化装置]