| 基于动态模糊神经网络的入侵检测系统 |
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| 引用本文： | 肖思和,鲁红英.基于动态模糊神经网络的入侵检测系统[J].成都理工大学学报(自然科学版),2004,31(4):402-407. |
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| 作者姓名： | 肖思和 鲁红英 |
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| 作者单位： | 成都理工大学网络教育学院,成都,610059;成都理工大学网络教育学院,成都,610059 |
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| 摘 要： | 针对传统的网络安全防范技术存在的缺陷和入侵检测在动态安全模型中的重要地位和作用,提出了基于模糊理论、神经网络和遗传算法结合的新方法--动态模糊神经网络,并且给出基于动态模糊神经网络的入侵检测系统构建体系.该系统在实际应用中收到了较好的效果.
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| 关 键 词： | 入侵检测 动态模糊神经网络 入侵检测系统 |
| 文章编号： | 1671-9727(2004)04-0402-06 |
| 修稿时间： | 2003年10月9日 |
Intrusion detection system based on dynamic fuzzy neural network |
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| XIAO Si-he,LU Hong-ying.Intrusion detection system based on dynamic fuzzy neural network[J].Journal of Chengdu University of Technology: Sci & Technol Ed,2004,31(4):402-407. |
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| Authors: | XIAO Si-he LU Hong-ying |
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| Abstract: | To counter the flaws of the traditional security protective technology and the important position and action of intrusion detection in dynamic security model, the authors put forward a new methoddynamic fuzzy neural network based on fuzzy theory, neural network and genetic algorithm and also (present) a framework of intrusion detection system based on dynamic fuzzy neural network. This system has obtained favorable effects in practical use. |
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| Keywords: | intrusion detection dynamic fuzzy neural network intrusion detection system |
| 本文献已被 CNKI 维普 万方数据 等数据库收录！ |
