Prediction of Cyberspace Security Data Based on the Markov Chain Model

Abstract

Abstract In the era of people’s access to information, the network has undergone tremendous development, the connection patterns of network attacks have become endless, and the number of attack network methods is increasing year by year. Based on the Markov model, the author studies the problem of network security authentication and aims to determine the truth of network security. In this way, network security managers can identify current network security issues, and we can gain a better understanding of the current network situation so that we can update our current security network promptly. The development process proposed by the author is simulated and the obtained results are all compared and evaluated. The experimental results show that the hidden Markov model algorithm is improved, the network security situation is better recognized, and the accuracy of the n network security problem is better known. At the same time, it is known to predict network security problems in the future according to the application model of predicting network security problems. Tests have shown that the development process is feasible and effective.