There are many evaluation indicators in the evaluation of classified protection of cybersecurity.To reduce the time and resources consumed by manual review,Bayesian network is introduced as an auxiliary method.Firstly,based on a large number of evaluation data of existing institutions,a Bayesian network model is built.This model takes evaluation indicators as parent nodes and each checkpoint in evaluation index as child node,and the probability of each evaluation indicator and check point is calculated by Netica.Then,the benchmark probabilities of each evalu-ation index and checkpoint are obtained by verifying and adjusting some presct relationships with experts.Finally,the quasi-probability is compared with the newly obtained data,which can provide the functions of auxiliary inspection and prediction for grade protection evaluation activities.
关键词
贝叶斯网络/贝叶斯定理/等级保护/等级保护测评/网络安全
Key words
bayesian network/bayes theorem/classified protection of cybersecurity/evaluation of classified protec-tion of cybersecurity/cybersecurity
维普
万方数据