Research on security situation prediction of equipment support information network based on Bayesian network
Xi Li, Lu Yu, Sen Liu · 2017
According to the characteristics of equipment support information network, this paper proposes a network security situation prediction model based on attack graph and Bayesian network. This paper proposes a global attack graph generation algorithm based on the forward search algorithm, and proposes an optimization scheme to solve the attack loop problem. A method for calculating the node probability of attack graph is proposed by using Bayesian network. The experimental results show that the model can accurately predict the security situation of the equipment support information network. The calculation results are more objective and practical because of adding the equipment weight information.