Under the background of the current information age,the stable operation of power communication network is of great significance for ensuring social and economic development and safeguarding national security.However,with the continuous evolution of network attack means,the limitations of traditional security situation awareness methods are gradually highlighted,which makes the security of power communication networks face challenges.In order to solve this problem,this paper proposes a security situation awareness method of power communication network based on improved bayesian.By constructing an improved bayesian network security situation awareness model,the security event data are analyzed,and the key security features are extracted,so as to establish the corresponding probability distribution model.Markov differential game is used to monitor and evaluate the network security situation in real time.The test results show that the proposed method can effectively detect the network security situation awareness in the six selected security situation awareness areas,and expand the application scope,which can better provide early warning services for network information security.
improving bayesianelectric power communicationnetwork securitysecurity situationperception methodidentification control
NETL
NSTL
万方数据
