Research on security risk perception of data cloud storage based on Bayesian inference
To solve the problem of significant lag in the perception of network data storage security risks based on fixed thresholds,a method for network data cloud storage security risk perception based on Bayesian inference is proposed.Quali-tative analysis is conducted on the influencing factors of network data cloud storage security risks,and correlation analysis and recombination are carried out to obtain accurate network data cloud storage security risk data,including technical risks,management risks,regulatory risks,etc.A cloud storage security risk perception model based on Bayesian inference is constructed,and the Bayesian network topology is modified using a scoring function.The security risk perception value is obtained through quantitative analysis to achieve network data cloud storage security risk perception.The experimental resultsshow that the network data cloud storage security risk omission rate of the proposed method is below 0.2,the maxi-mum false alarm rate is only 1.1,and the difference between the perceived value and the actual value is small.The security risk perception time is short,and the network data cloud storage security risk perception effect is good.
Bayesian inferenceNetwork dataCloud storage securityRisk perceptionRandom forestScoring function
NETL
NSTL
万方数据
维普
