Network Security Events Analyze Method Based on Neural Networks and Genetic Algorithm

Abstract

In view of the threat of network and information system, a network security events analyze method based on neural network and genetic algorithm is proposed in this paper. The neural network model is used to classify amounts of security events generated by various attack scenarios. And the rule items are extracted from the classification results. According to these items, the correlation rules are generated automatically by using genetic algorithm. Experiment results show that this method can classify events and generate association rules in the absence of manual intervention. And this automatic and self-adaptive method improves the efficiency of system.