| 基于IPV6的网络安全入侵检测技术研究 |
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| 引用本文： | 罗利民,周震.基于IPV6的网络安全入侵检测技术研究[J].科技通报,2012,28(4):114-115,140. |
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| 作者姓名： | 罗利民 周震 |
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| 作者单位： | 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 |
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| 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。
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| 关 键 词： | 入侵检测 协议分析 IPv6 神经网络 |
IPV6 Based Network Security Intrusion Detection Technology Research |
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| LUO Liming
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ZHOU Zhen.IPV6 Based Network Security Intrusion Detection Technology Research[J].Bulletin of Science and Technology,2012,28(4):114-115,140. |
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| Authors: | LUO Liming ZHOU Zhen |
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| Institution: | 1.Pingdingshan University network computing center,Pingdingshan 467002,China; 2.Luoyang Normal University Luoyang,471022,China) |
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| Abstract: | 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. |
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| Keywords: | intrusion detection protocol analysis IPV6 neural network |
| 本文献已被 CNKI 万方数据 等数据库收录！ |
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