| 基于模糊神经网的入侵检测模型研究 |
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| 引用本文： | 曲丽娜.基于模糊神经网的入侵检测模型研究[J].吉林工程技术师范学院学报,2013,29(5):67-69. |
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| 作者姓名： | 曲丽娜 |
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| 作者单位： | 吉林工程技术师范学院信息工程学院,吉林长春,130052 |
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| 基金项目： | 吉林省教育厅"十一五"科学技术研究项目 |
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| 摘 要： | 对自组织特征映射(SOM)神经网络进行了概括分析,并结合模糊逻辑的思想对SOM网络的学习算法进行了模糊化改进。将模糊SOM技术应用到网络入侵检测中并应用MATLAB进行仿真。试验结果表明基于模糊神经网络的网络入侵检测方法能有效降低误报率。
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| 关 键 词： | 网络安全 网络入侵检测 模糊神经网络 |
A Research of Intrusion Detection Model Based on Fuzzy Neural Network |
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| QU Li-na.A Research of Intrusion Detection Model Based on Fuzzy Neural Network[J].Journal of Jilin Teachers Institute of Engineering and Technology(Natural Sciences Edition),2013,29(5):67-69. |
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| Authors: | QU Li-na |
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| Institution: | QU Li-na (College of Information Engineering, Jilin Teachers Institute of Engineering and Technology, Changchun Jilin 130052, China) |
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| Abstract: | This paper summarizes and analyzes Self Organized Feature Mapping （SOM） Neural Network, and combines with fuzzy logic idea to make a fuzzy improvement towards the learning algorithm of SOM network, applies the fuzzy SOM technology to the network intrusion detection and makes simulation using MATLAB. The test results show that the network intrusion detection method based on fuzzy neural network can effectively reduce the false alarm rate. |
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| Keywords: | network security network intrusion detection fuzzy neural network |
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