【作者】 汪京培； 孙斌； 钮心忻； 杨义先；

【Author】 WANG Jing-pei;SUN Bin;NIU Xin-xin;YANG Yi-xian;Information Security Research Center,Beijing University of Posts and Telecommunications;National Engineering Laboratory for Disaster Backup and Recovery,Beijing University of Posts and Telecommunications;

【机构】 北京邮电大学信息安全中心； 北京邮电大学灾备技术国家工程实验室；

【摘要】 目前缺少有效的评估方法对己存的信任模型进行分析和评估。为解决该问题,提出了一种新的基于可信建模过程的信任模型评估算法。将信任模型按照信任生命周期分解成信任产生、信任建模、信任计算、信任决策和信任传递五部分,对每个过程进行可信性分析,并用模糊理论量化评估值,用贝叶斯融合形成综合的评估结果。最后以分布式WSN信任模型为例,对所提算法进行了验证,同时给出了算法的有效性仿真,分析和实验结果表明所提算法是有效可行的。评估的结果为新的信任模型的提出提供了参考,也为实际应用中信任模型的最优化选择提供了理论依据。更多还原

【Abstract】 There are rare effective evaluation methods existed for analyzing and assessing the varied trust models.To solve this issue,a new trust model evaluation algorithm based on trusted modeling process was proposed.First,the evaluated trust model was divided into five trusted processes,including trust estabhshing,trust modeling,trust computing,trust decision-making and trust transmitting,according to trust lifecycle.Then each process is analyzed for reliability,simultaneously the fuzzy theory and Bayesian method were used for assessment and fuse to achieve the comprehensive quantitative evaluated results.Finally,the proposed method was validated in the form of example- the evaluation of distributed WSN trust models,and related simulations were performed.The analysis and simulation results show that the proposed algorithm is feasible and effective.The evaluated result provides a reference for the development of new trust models;also it laid a theoretical foundation for the optimal selection of trust models in the practical application.更多还原