Intrusion Detection System Based on Combination of Expert System and BP Neural Network

Wu Kai-jun
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Abstract

This paper aims to study the application of expert system combined with neural network in Intrusion Detection System.It brings improvement to BP algorithm of neural networks,meanwhile a series of rule sets have been created through absorbing experience and knowledge from experts,scholars as well as professional forecasters,which benefits simulation of human expert reasoning of the decision-making process and judgments to create an expert system,thereby improving the deficiencies in intrusion detection with single BP algorithm.
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基于专家系统和BP神经网络相结合的入侵检测系统
本文旨在研究专家系统与神经网络相结合在入侵检测系统中的应用。它对神经网络的BP算法进行了改进,同时通过吸收专家、学者以及专业预测人员的经验和知识,建立了一系列规则集,有利于模拟人类专家对决策过程的推理和判断,从而形成专家系统,从而改善了单一BP算法在入侵检测中的不足。
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