基于遗传算法的BP神经网络入侵检测系统在校园网中的应用  

Application of BP Neural Network Intrusion Detection System Based on Genetic Algorithm on Campus Networks

作　　者：张学锋[1] 黄子辉[1] 

机构地区：[1]惠州学院数学系,广东惠州516007

出　　处：《计算机与现代化》2010年第8期18-21,共4页Computer and Modernization

摘　　要：随着网络应用日益普及,随之而来的网络安全问题日益凸显,本文针对校园网所面临的安全威胁,通过对入侵检测技术的简单介绍,结合校园网的实际情况提出一种新的基于遗传算法的BP神经网络实时入侵检测系统,它有效地增强了校园网的安全防护。With the popularization of Internet,the consequent network security issues becomes prominent.This paper based on the security threats of campus network faced,by the brief introduction of intrusion detection techniques and combining the actual campus network,presents a new real-time intrusion detection system,which is established based on genetic neural network.It effectively enhances the security of campus network.

关 键 词：遗传神经网络 校园网 BP神经网络 遗传算法 入侵检测 

分 类 号：TP393.08[自动化与计算机技术—计算机应用技术]