基于授权反馈的直接信任度评估方法

Direct Trust Degree Evaluation Method Based on Authorization Feedback

传统信任评估方法对信任的历史相关性和时间衰减性刻画不足,缺乏激励和惩罚机制。为此,提出一种基于诱导有序加权平均(IOWA)算子的直接信任度评估方法。考虑多次历史信任度,采用IOWA算子确定每次历史信任度所占权重,基于授权反馈更新直接信任度,从而激励或惩罚实体。测试结果表明,该方法能正确评估实体的直接信任度。

Due to the drawbacks of weak history relativity, little attention paid to characteristic of trust decrease with time, and lack of incentive mechanism in existing trust evaluation methods, a novel method is proposed to evaluate the direct trust. Historical direct trusts are taken account to emphasize the history relativity and characteristic of trust decrease with time. Utilizing Induced Ordered Weighted Averaging（IOWA） algebra to compute the weights of these historical direct trusts, IOWA-based direct trust evaluation method is presented. An incentive mechanism based on authorization feedback is proposed to update the direct trust. Test results indicate that the proposed method can evaluate and update the direct trust between two entities effectively.