Application Research on Network Security Situation Prediction method
Na Wu · Jisuanji fangzhen · 2012
Traditional prediction models can only analyze past and present network security situations,and can not predict future network security situation.This paper proposed a network security situation prediction model of support vector machine.The support vector machine used the past and current situation of the network security to predict the future value of network security,the parameters were optimized by genetic algorithm,and the prediction speed was increased.Prediction model was tested by simulation experiments,and the results show that the prediction mdoel can accurately reflect the changing trends of network security,improve the prediction precision of network security situation compared with the traditional prediction method,and is more suitable real network environment.