Design of Network Security Storage Algorithm Based on Markov Model
Xiaolu Zhang, Wuqiang Shen, Lei Cui · 2023
With mankind entering the information age, the network has experienced a large-scale development, and the corresponding forms of network attacks have emerged one after another, and the number of network attacks has also increased year by year. Therefore, network security has become an urgent problem. More and more research experts have studied the network security situation awareness technology, and provided solutions for the increasingly prominent network security problems. In this paper, the security state of the private network is regarded as a non-one-to-one relationship. The actual observed security events in the application area of the private network system can be described by the sequence of security events in the private network. There is a specific probability function between the security state of the private network and the security events that occur, which solves the problems of difficult configuration of hidden Markov model (HMM) parameters and low evaluation accuracy, The HMM optimization method for network security situation assessment is proposed. The attack success rate of any length of attack sequence can be further obtained through the model. The experimental results show that the method is simple and effective, which is conducive to discovering the vulnerability of network nodes and mastering the network security status.