Neural network ensembles model for intrusion detection
Xiaohong Shen · Computer Engineering and Applications Journal · 2012
Intrusion detection is a central issue of network security research.This paper proposes a new neural network ensembles model for intrusion detection system.The model trains the individual networks based on data reducing.Genetic algorithm is used to optimize neural network weight.Neural network techniques are used to combine the different classification results.Theory and experiment show that the model is effective.