Jian Chen, Qingyuan Yang, Rifat Hussain
With the increasing importance of network security, more attention is paid to the research on network securitysituation awareness, while network security situation assessment is the core of situation awareness. The existingsituation assessment technology has many problems, such as unitary methodology, large-scale subjective factors and so on, affecting the accuracy of situation assessment. Combined with the traditional network securitytechnology, this paper sets up a three-layer evaluation index system, and puts forward an overall networksecurity situation evaluation model based on hidden Markov model, PageRank algorithm and D-S evidence theory, through which, the overall situation is evaluated after using different fusion algorithms in different fusionstages. The simulation result shows that the above assessment method is more accurate and efficient than the method using single model.
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