Intrusion Detection System based on combination of expert system and Bp neural network
Liang Zhou, Lixin Ke, Kaijun Wu, Xitao Zheng · 2011
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 using the experience and knowledge from experts, scholars as well as professional forecasters. This benefits the simulation of human expert reasoning of the decision-making process and helps the judgments to create an expert system. Test shows improved efficiencies in intrusion detection than those with single BP algorithm.