| 基于遗传算法和神经网络的入侵检测研究 |
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| 引用本文： | 郭旭展,孙艳歌.基于遗传算法和神经网络的入侵检测研究[J].数字社区&智能家居,2009(29). |
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| 作者姓名： | 郭旭展 孙艳歌 |
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| 作者单位： | 信阳师范学院计算机与信息技术学院; |
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| 基金项目： | 信阳师范学院青年基金项目(20080205) |
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| 摘 要： | 基于神经网络的入侵检测是常见的智能入侵检测方法,能够对网络内部、外部攻击进行防御。将神经网络和遗传算法相结合,采用改进适应度遗传算法优化神经网络。实验结果表明,该方法能够有效的提高系统的检测率,降低误报率。
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| 关 键 词： | BP神经网络 遗传算法 入侵检测 适应度函数 |
Research of Intrusion Detection Based on Neural Network Optimized and Genetic Algorithm |
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| GUO Xu-zhan,SUN Yan-ge.Research of Intrusion Detection Based on Neural Network Optimized and Genetic Algorithm[J].Digital Community & Smart Home,2009(29). |
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| Authors: | GUO Xu-zhan SUN Yan-ge |
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| Affiliation: | GUO Xu-zhan,SUN Yan-ge(Computer , Information Technology College,Xinyang Normal University,Xinyang 464000,China) |
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| Abstract: | The research of intrusion detection based on the neural network is the familiar way of intelligent intrusion detection,it can detect the interior and exterior attacks. This paper shows a way that combines neural network with genetic algorithm,it makes use of Genetic algorithm with an improved fitness function to optimize the weights of the neural network. The result of the experiments shows the method is good for the improvement of the detection rate,and reduction of misreporting rate. |
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| Keywords: | BP neural network genetic algorithm intrusion detection fitness function |
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