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为了提高DyTrust模型信任评价的准确度,解决信任模型的粒度比较粗糙以及节点的个体经验对信任评价带来影响的问题,在DyTrust模型的基础上,通过对节点所提供的服务进行细化和引入经验因子的方法,提出了一种改进的信任评价算法.与DyTrust模型的比较和分析表明,改进后的模型精化了信任算法的粒度,提高了信任评价的准确度,体现了节点的个性化特性,在反馈可信度的算法方面有较大的改善,同时该反馈可信度算法具有较好的可扩展性.
In order to improve the accuracy of the trust evaluation of DyTrust model, solve the problem of the coarse granularity of the trust model and the influence of the individual experience of the node on the trust evaluation, based on the DyTrust model, the service provided by the node is refined and introduced Empirical method, an improved trust evaluation algorithm is proposed.Comparison and analysis with the DyTrust model show that the improved model has refined the granularity of the trust algorithm, improved the accuracy of the trust evaluation, and embodied the personalization of the node Characteristics, the credibility of the feedback algorithm has greatly improved, while the feedback credibility algorithm has good scalability.