关键词: 神经网络集成, 属性选择, 遗传算法, 入侵检测

Abstract: 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.

Key words: neural network ensembles, attribute selection, genetic algorithm, intrusion detection