Network Security Situation Awareness Model Based on Bayesian Method
摘要
To comprehensively and accurately analyze the security situation of a given network and evaluate the situation,this paper proposes a mixed Network Security Situation Awareness(NASS) model based on Bayesian method.The model preprocesses the situation indicator data collected from a given network environment by discretizing them.Then according to the different evaluation methods,the hierarchical model of situation indicators is established.Finally,the situation influence indicators at the bottom layer of the hierarchical model are merged upward layer by layer by using the Bayesian network model,and the final evaluation index of network security situation is obtained to give the status rating.Experimental results show that the proposed model meets the practical requirements of applications,and the evaluation results are accurate and effective,improving the stability and reliability of network environment.