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Research and Implementation of Intrusion Detection Algorithm Based on BP Neural Network

机译:基于BP神经网络的入侵检测算法的研究与实现

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The paper introduce the neural network technology in IDS model design, and study that neural network is successfully applied in intrusion detection, and gives a network of neural network based intrusion detection system model, expounds the design idea of the model, the model schematic diagram, and the principle of each module in the system model and give a detailed introduction. At last, through more objective analysis of the training process and detection process, the experimental results and experimental results are satisfactory, that is a great advantage in the network intrusion detection based on neural network.
机译:本文介绍了IDS模型设计中的神经网络技术,并研究神经网络在入侵检测中成功应用,并提供了一种基于神经网络的入侵检测系统模型网络,阐述了模型的设计思想,模型示意图,以及系统模型中每个模块的原理,并提供详细介绍。最后,通过对培训过程和检测过程的更多客观分析,实验结果和实验结果令人满意,这在基于神经网络的网络入侵检测中是一个很大的优势。

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