基于模糊集合的可信计算信任模型评估  

Trust Evaluation of Trusted Computing Models Based on Fuzzy Set

作　　者：陈书义[1] 闻英友[1,2] 赵宏 

机构地区：[1]东北大学计算机软件国家工程研究中心,沈阳110004 [2]东软研究院,沈阳110179

出　　处：《计算机科学》2008年第11期39-41,97,共4页Computer Science

基　　金：国家自然科学基金(60602061);国家高技术研究发展计划(2006AA01Z413)

摘　　要：可信计算是信息安全的重要研究领域,而信任模型的可信性评估是该领域中亟待解决的关键问题。在深入研究可信计算信任根、信任链及其可信性影响因素的基础上,提出了基于模糊集合理论的可信计算信任模型评估方法。基于模糊集合理论的评估方法定义了不同的可信度度量规则和模糊集合,基于计算得到的可信度,评价信任模型的可信性。分析结果表明,基于模糊集合的信任评估方法能够有效评估可信计算信任模型的可信性,丰富了可信计算信任评估理论。Trusted computing is a significant research aspect of information security. The problem is urgent to resolve that how to evaluate the trust level of trusted computing model The theories of trusted root, trusted chain and influence factors of trust were studied. Trust level evaluation method of trusted computing models was proposed based on fuzzy set. The different measurement rules and fuzzy sets were defined according to influence factors of trust, and the properties of trusted models were evaluated based on the trust level calculated. Analyzing results show that trusted computing system can be exactly and effectively evaluated with provided methods, which enriches the evaluation theory of trusted computing.

关 键 词：可信计算 可信计算平台 信任链 可信度 模糊集合 

分 类 号：TP273.4[自动化与计算机技术—检测技术与自动化装置] TP309[自动化与计算机技术—控制科学与工程]