Network Security Situation Prediction Based on Kalman Algorithm
Leilei Liu · Computer and Digital Engineering · 2014
Network security situation prediction is one of current research focuses in the area of network security.In this paper,based on analysing methods to predict network security situation,we apply Kalman filtering to establish a new model which can predict the network security situation.Using the number of attack packets and the value of Network security situation in the present and the past,the method can predict the value of future Network security situation.Experiment results show that the prediction with this method is more precise than GM(1,1)and common kalman algorithm.Its adaptability and performance of real-time is better than that of RBF algorithm.