Network security situation prediction method based on hidden Markov model
Wen Zhichen · Journal of Central South University(Science and Technology) · 2015
In order to help network administrators make correct decisions and take effective defense measures, a hidden Markov prediction model was put forward. The characteristics of network security situation changes were investigated, the time series analysis method was used to describe the dependent relationship between the former and the latter's security situations in different time. When the security situation was deviated from its normal state, the change law was analyzed, and system change trend and development direction of security situation in the future were predicted by the prediction model. Finally, the network security situation prediction algorithm was verified using the simulation data. The simulation results verify the correctness of the method.