Research on Network Security Situation Assessment Method

The Internet has penetrated into various fields of human production and life. While enjoying Internet technology, people have to face various problems brought about by the Internet, among which network security issues are particularly prominent. The network security situation assessment summarizes, filters and analyzes security events generated by devices, builds suitable mathematical models based on security indicators and assesses the level of security threats to the entire network system, thereby analyzing and capturing the overall security status of the network. This paper analyzes the relevant research at home and abroad, and selects Elman neural network model, intuitionistic fuzzy set model and hidden Markov model for network security situation assessment. The result is compared with the expert assessment, and the advantages and disadvantages of the different models are analyzed in conjunction with relevant model theory. It is found that the network security situation assessment model more suitable for the current network environment is the intuitionistic fuzzy set model.