Intrusion detection model based on the improved neural network and expert system
Xingchao Gong, Xin Guan · 2012
This paper shows a intrusion detection model that combines the BP networks and the expert system aiming at the bad effect of a single detection model .This model uses the improvement the BP neural network, simultaneously through the similar expert solves the actual problem inference mechanism, creat a neural network expert system model. The experiment simulation show that this model has less iteration times, quicker convergence rate?higher detection rate and sufficient availability, at present mainly applied in the mine network security.