Simulation Study on Network Security Situation Forecast
Ping Zhong · Jisuanji fangzhen · 2012
Study the problem of network security.Network security is of the characteristics of nonlinear,time-varying,thus the traditional prediction algorithm is unable to accurately predict the network security situation.In order to improve the prediction accuracy of network security situation,we put forward a network security situation forecast model based on the genetic algorithm combined with support vector machine.The network security situation data constituted the multi-dimensional time series,and then were input to a support vector machine for training.The genetic algorithm was used to solve optimization problems of model parameters.Finally,the prediction model was used for network security situation forecast of future time.The simulation results show that,the algorithm can well reflect the overall network safe operation condition,improve the network security situation prediction accuracy,and guide the administrator of the network security control.