摘要
对可信平台控制模块(TPCM)的风险进行了分析,针对其特点和风险定量评估要求,提出了基于贝叶斯网络的TPCM风险评估模型。在对影响TPCM可信性的风险识别的基础上,根据风险之间的相关性,建立了贝叶斯风险评估网络模型;基于专家评价数据,进一步运用贝叶斯网络推理工具定量评估风险的发生概率及其影响,评估风险强度并对其进行排序,以确定整个TPCM中各风险的控制优先级。最后通过实例分析验证了该模型的有效性。
A risk assessment model based on Bayesian network was proposed. In this model, each risk event influencing the Trusted Platform Control Module （TPCM） ＇s trust was analyzed. According to the relation among risks, the Bayesian network evaluation model was built. According to the evaluation from expert, Bayesian network inferring method was used to evaluate the risk probability and its influence. The whole system＇s risk value and risk priority were determined. An example was given to verify the model＇s correctness and validation.
出处
《计算机应用》
CSCD
北大核心
2011年第3期767-770,789,共5页
journal of Computer Applications
基金
国家973计划项目(2007CB311106)
关键词
可信计算
可信平台控制模块
风险评估
贝叶斯网络
trust computing
Trusted Platform Control Module （TPCM）
risk evaluation
Bayesian network
