| 基于模糊神经入侵检测系统的研究 |
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| 引用本文： | 王宇钢,李国义.基于模糊神经入侵检测系统的研究[J].辽宁工学院学报,2007,27(2):86-88. |
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| 作者姓名： | 王宇钢 李国义 |
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| 作者单位： | 辽宁工学院计算机科学与工程学院,辽宁锦州121001 |
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| 摘 要： | 针对目前绝大多数入侵检测系统不能很好检测已知攻击的变种，将神经网络和模糊逻辑有机地结合起来，提出一种模糊神经网络入侵检测系统（FNN—IDS）。仿真结果表明，能较好地解决上述问题，为入侵检测系统的改进提供了一种有效的途径。
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| 关 键 词： | 网络安全 入侵检测系统 模糊神经网络 |
| 文章编号： | 1005-1090(2007)02-0086-03 |
| 修稿时间： | 2006-12-28 |
Research on Fuzzy Neural Intrusion Detection System |
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| WANG Yu-gang, LI Guo-yi.Research on Fuzzy Neural Intrusion Detection System[J].Journal of Liaoning Institute of Technology(Natural Science Edition),2007,27(2):86-88. |
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| Authors: | WANG Yu-gang LI Guo-yi |
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| Abstract: | Most current intrusion detection systems lack the ability to detect variations of known attacks.A Fuzzy Neural Intrusion Detection System was designed, which utilized both advantages.The simulation expatiated that FNN-IDS could well solve the above problems and proposed the method to improve performs of IDS. |
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| Keywords: | network safety intrusion detection system fuzzy neural network |
| 本文献已被 CNKI 维普 等数据库收录！ |
