作　　者： ; ;

机构地区： 肇庆学院电子信息与机电工程学院

出　　处： 《合肥工业大学学报（自然科学版）》 2014年第5期590-595,共6页

摘　　要： 信任评估是目前可信计算研究的热点,文章针对目前信任评估方法的不足,结合模糊集合理论在可信计算环境下给出基于相似度的信任评估推理机制。在对信任链上实体评估过程中,融入实体的间接信任度,体现了客观因素的重要性,鉴于实体信任的动态性,引入时间衰减函数和自适应权重系数给出信任更新模型。在定义基于Hamacher算子相似度的基础上给出新的可信计算信任链模糊评估方法。模拟实验表明该推理方法的可靠性和评估结果的可信性优于同类评估方法。 Trust assessment has become a research focus in trusted computing.A trust assessment and reasoning mechanism based on similarity degree combined with fuzzy set theory is given under the trusted computing environment in view of the defects of current trust assessment methods.In the process of trust assessment of entities in the trust chain,the indirect trust degree of entities is introduced,reflecting the importance of the objective factors.According to the dynamic character of the trust of entities,a trust renewal model is provided by introducing the time-attenuation function and the self-adaptive weighting coefficient.A new fuzzy assessment method of trust chain in trusted computing is presented on the basis of the definition of the similarity degree based on Hamacher operator. The results of simulation experiments show that the reliability of this reasoning method and the credibility of the assessment results are superior to those of other methods.

关 键 词： 可信计算 模糊集合 信任评估 信任链 推理

领　　域： [自动化与计算机技术] [自动化与计算机技术]