模糊综合信任量化算法

Trust Quantification Algorithm Based on Fuzzy Comprehensive Evaluation Method

动态信任关系确切量化是开放式网络应用环境中的一个核心问题,然而开放式网络应用环境中缺少管理权威机构使得实体难以有全局计算信息,常规数学函数不易对信任的主观性和动态性进行表示等综合因素,导致了动态信任难以确切量化。针对动态信任量化难以确切量化的问题,首先提出开放式网络环境中的信用和信誉两个概念,对信任的动态性进行表示,将其作为信任评判内容。应用模糊综合评判原理,建立模糊综合信任评判模型;然后以模型为基础,设计了一种模糊综合信任量化算法,并且通过构造信任评价记录表、主体访问记录表和客体评价表等数据结构对算法进行实现。最后对该算法进行仿真,结果分析表明,算法正确性能较好,实现了动态信任的确切量化。

Dynamic trust quantification is an important issue for open network environment, but no authority cen- ter in open network environment makes it difficult for entities to obtain global computing information, besides trust has the characters of fuzziness and dynamic, which leads to larger evaluation error during trust quantification calculated with ordinary mathematic formula. Facing this problem, firstly, two concepts of credit and reputation were defined to describe the dynamic of trust, and a trust quantification model was proposed by fuzzy comprehensive evaluation meth- od. Then a quantification algorithm based on the model was designed, and the trust evaluation table, visited table and visit evaluation table were constructed to realize the quantification algorithm. At last, the efficiency of the trust quan- tification algorithm was shown by simulation results, and the quantified value of trust is consistent to the behavior of the note in internetwork environment, so the trust quantification algorithm is feasible.