Research on model of Intrusion Detection System based on multi-neural network
Bo Li · Railway Computer Application · 2009
In order to improve the detection performance of Intrusion Detection System,it was presented a new model of Intrusion Detection System based on multi-neural network.The multi-neural network and fuzzy integral were used in the model.The basic idea was to divide network dataset into several sub-datasets according to different data attributes,train on different sub-datasets and construct different sub-neural networks separately￡ then nonlinearly combine the results from multiple sub-neural networks by fuzzy integral,at last the System would determine class.