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Research on trust evaluation of secure bootstrap in trusted computing based on fuzzy set theory

机译:基于模糊集理论的可信计算信任评估研究

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Trust platform is key technology of trusted computing. How to verify if a model is trusted in theory is a signification research work. In this paper, a trust level evaluation method of trusted computing model based on fuzzy logic is presented. By the similarity-based weighted fuzzy reasoning method, the fuzzy trust value between entities which have no direct recommendation in trust chain can be gained and the trust level of trusted models were evaluated based on the trust value calculated. This paper provides a new valuable way for studying trust evaluation of trusted computing models.
机译:信任平台是可信计算的关键技术。如何验证是否在理论上是值得信赖的,是一个意义的研究工作。本文介绍了基于模糊逻辑的可信计算模型的信任级评估方法。通过基于相似性的加权模糊推理方法,可以获得在信任链中没有直接推荐的实体之间的模糊信任值,并且基于计算的信任值评估可信模型的信任级别。本文为学习可信计算模型的信任评估提供了一种新的有价值的方法。

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