Improvement of Network Security Situation Prediction Model

With the extensive application of computer networks, the importance of network security is particularly prominent. In order to accurately evaluate the state of network security, based on the acquisition of artificial immune network, the hierarchical network security situational awareness method based on IDS alarm log is used to optimize the network security situation. At the same time, in order to accurately predict the network security situation, the Kalman filter algorithm is used to optimize the gray model to predict the network security situation. The experimental results show that the gray model optimized by Kalman filter is more accurate and the reliability is better.