Intrusion detection model based on GA dimension reduction and MEA-Elman neural network

Abstract

Now people are using the network all the time, but the ensuing network attacks are constantly threatening people’s lives, so information security is becoming more and more important. In this paper, an intrusion detection model based on the MEA-Elman neural network is proposed. Firstly, GA algorithm is used to reduce the dimension of the dataset, and then verified by the MEA-Elman network model. The experiment results show that the detection model has high accuracy, which can meet the basic requirements of intrusion detection.