Research on Optimization of Computer and Network Security Protection System Based on Neural Network
Meng Song, Kunwen Qin · 2023
With the gradual improvement of social informatization, computer technology is not only used for networked office and document processing, but also gradually forms the internal network, external network and global Internet of the unit. While the connection and communication are convenient, it also brings a series of security problems such as vulnerabilities, virus intrusion, etc. The NN (Neural network) is helpful to assess the security and stability of computer network, and its accuracy is high. Through the evaluation of the NN, the safety degree of the computer network can be evaluated, and protective measures can be developed for its security to strengthen technical improvement. This paper discusses the construction and improvement path of the CNS (Computer and network security) evaluation system based on NN to ensure the accuracy of CNS evaluation. The research results show that the PSO-BPNN (Particle Swarm optimization BP neural network) CNS assessment speed is fast, which is compared with the traditional CNS assessment model, and the accuracy of CNS assessment is improved by 31.26%.