基于IPV6的网络安全入侵检测技术研究  

IPV6 Based Network Security Intrusion Detection Technology Research

作　　者：罗利民[1] 周震[2] 

机构地区：[1]平顶山学院网络计算中心,河南平顶山467002 [2]洛阳师范学院,河南洛阳471022

出　　处：《科技通报》2012年第4期114-115,140,共3页Bulletin of Science and Technology

摘　　要：主要研究了一种基于IPV6入侵检测技术。首先介绍了传统IPV6网络的几种网络协议,然后提出了一种采用BP神经网络技术的IPV6网络入侵检测算法。与传统网络入侵检测系统模型的对比,得到的实验数据突出了本文提出的改进型算法,有较高的优势,不管在时间上,还是在识别率上都得到了较好地提高,误检率低。This paper mainly studies the technology of intrusion detection based on IPV6. First introduced the traditional IPV6 network several network protocols, and then put forward a kind of using BP neural network IPV6 algorithm for network intrusion detection. The experimental results show that, the proposed intrusion detection algorithm, the training sample time is shorter, and the traditional network intrusion detection system model are compared, have better intrusion recognition rate and detection rate.

关 键 词：入侵检测 协议分析 IPV6 神经网络 

分 类 号：TP319[自动化与计算机技术—计算机软件与理论]