基于专家系统和BP神经网络相结合的入侵检测系统

Wu Kai-jun
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引用次数: 0

摘要

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。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Intrusion Detection System Based on Combination of Expert System and BP Neural Network
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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