Research on network security situation awareness based on neural network

With the rapid development of network technology, the problem of network security is becoming more and more prominent, and the means of network attack emerge endlessly, which brings great challenges to network security protection. In this paper, the research of network security situation awareness based on neural network is carried out, aiming to realize the comprehensive monitoring and early warning of network security through intelligent methods, and improve the efficiency and accuracy of network security protection. In this study, the application of neural network in network security situation awareness will be deeply discussed. By improving neural network structure, designing reasonable experimental environment, and selecting representative experimental data for pre-processing, accurate perception and prediction of network security situation will be achieved. The experimental results show that although the total operation time of the network security situation awareness model under the improved network algorithm proposed in this paper is slightly longer than that of the traditional algorithm, it has a higher accuracy rate in the network security situation assessment.