Network Intrusion Detection Based on the T-S Fuzzy Neural Network
Zhou Meng-xiong · Techniques of Automation and Applications · 2007
This paper introduces a network intrusion detection method based on the T-S fuzzy neural network.The learning problem of the front-part network fuzzy parameters and the post-part connection weights of the T-S FNN is resolved.Using the 1998 Lincoln Lab Dataset,the characteristic of the dataset is obtained by means of statistics.This dataset is used as the experiment source data,and apply the T-S FNN for intrusion detection.Simulation experiments are performed on the Matlab simulation platform.