A Method of Network Security Situation Prediction Based on Kalman Algorithm
Yudong Li · Jisuanji fangzhen · 2010
Network Security Situational Awareness has become the orientation of research in the field of network security.Already existing research achievements have given out some models of networks security situation assessment,but these models can only analyze the situation of the past and the present,but can not predict the situation of networks security.Aiming at the problem,the paper presents a method based on Kalman algorithm.Using the value of the present and the past,the method can predict the value of future situationf.Experiment results show that this method can not only reflect the trend of the network security situation,but also predict the precious value of trend.Comparing with the GM(1,1) and RBF algorithm,the prediction with this method is more precise,and is more suitable for the networks.