Fuzzy evaluation mechanism of trust chain under embedded trusted computing

Li Gang
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Abstract

This paper proposes a trust chain evaluation mechanism based on fuzzy theory under embedded trusted computing. Firstly, this method described the trusted computing, the trusted computing platform, embedded system, which showed the important position of the trust chain in dependable computing. Then, in the process of the entity evaluation of trust chain, according to the influencing factors of trust chain in the trusted computing, considering the indirect trust degree, completed the establishment of evaluation method of trusted computing model based on the fuzzy set theory. Finally, combined the fuzzy logic inference with the trust transitivity, we proposed a trust chain evaluation mechanism based on similarity, and introduced the time decay function and adaptive weight coefficient to give the trust updating model. Simulation experiment shows that the proposed method can effectively improve the reliability of trust chain evaluation in embedded trusted computing, which has good application value.
嵌入式可信计算下的信任链模糊评价机制
提出了一种基于模糊理论的嵌入式可信计算下的信任链评价机制。该方法首先对可信计算、可信计算平台、嵌入式系统进行了描述,说明了可信链在可靠计算中的重要地位;然后,在对信任链进行实体评价的过程中,根据信任链在可信计算中的影响因素,考虑间接信任程度,完成了基于模糊集理论的可信计算模型评价方法的建立。最后,将模糊逻辑推理与信任传递性相结合,提出了一种基于相似度的信任链评价机制,并引入时间衰减函数和自适应权重系数,给出了信任更新模型。仿真实验表明,该方法能有效提高嵌入式可信计算中信任链评估的可靠性,具有良好的应用价值。
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