Artificial Intelligence Technology in Computer Network Security

Abstract

Currently, computer networks are evolving in an extensive and highly distributed direction, Data centers based on traditional networks are gradually migrating to cloud data centers, and instead of reducing the number of network security incidents, they are causing more damage, and traditional reactive protection methods cannot reliably cope with changing security events and security hazards. The purpose of this paper is to study computer network security based on artificial intelligence technology. The application of artificial intelligence techniques in network security with intrusion detection and defense techniques is described. Because the learning efficiency of BP algorithm is low and the convergence speed is slow, the additional momentum factor is used to improve the performance of BP algorithm, and the neural network is introduced into the intrusion detection and defense system, so as to reduce the system leakage rate and false alarm rate and improve the convergence speed of neural network. At the same time, various network security products developed in combination with artificial intelligence will be deployed to the cloud data center to strengthen the network security of the cloud data center.