基于软计算的智能入侵检测

2015 Seventh International Conference on Measuring Technology and Mechatronics Automation Pub Date : 2015-06-13 DOI:10.1109/ICMTMA.2015.145

C. Yan

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引用次数: 9

摘要

针对入侵检测系统中普遍存在的误报率和误报率问题，提出了一种智能入侵检测模型。该模型利用遗传算法的全局优越性和神经的局部性特点，利用遗传算法对神经网络的权值进行优化。实验结果表明，该方法可以提高入侵检测的效率。

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Intelligent Intrusion Detection Based on Soft Computing

Aiming at false negative rate and false alart rate which exist generally in the intrusion detection system, a intelligent intrusion detection model is proposed in this paper. Based on the characteristics of global superiority of genetic algorithm and locality of nerve, the model optimizes the weights of the neural network using genetic algorithm. Experiment results show that the intelligent way can improve the efficiency of the intrusion detection.

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2015 Seventh International Conference on Measuring Technology and Mechatronics Automation

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