Research on trust transitivity and aggregation in evidential trust model

JIANG Li-ming1; ZHANG Kun1; XU Jian1; LIAO Jun1; ZHANG Hong1

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Research on trust transitivity and aggregation in evidential trust model

更新时间：2024-10-14

- Research on trust transitivity and aggregation in evidential trust model
- Vol. 32, Issue 8, Pages: 91-100(2011)
- 作者机构：
  
  1. 南京理工大学计算机科学与技术学院
  2. 南京大学计算机软件新技术国家重点实验室
- 作者简介：
- 基金信息：
- DOI：
  CLC： TP393.08
- Published：2011
- 稿件说明：
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JIANG Li-ming1, ZHANG Kun1, XU Jian1, et al. Research on trust transitivity and aggregation in evidential trust model[J]. 2011, 32(8): 91-100.
DOI：

JIANG Li-ming1, ZHANG Kun1, XU Jian1, et al. Research on trust transitivity and aggregation in evidential trust model[J]. 2011, 32(8): 91-100. DOI：

摘要

现有信任模型在信任传递和聚合方面存在一定的不足:首先是信任传递过程中缺少对直接推荐实体的反馈信任度的有效度量;其次是信任聚合过程中因缺少对推荐链之间依赖关系的有效处理而存在推荐信息的损耗或重复计算等问题。为了解决这些问题

提出了一种新的证据信任模型

结合D-S证据理论和图论方法有效解决了信任传递的可靠性和信任聚合的准确性等问题。仿真实验表明

与已有模型相比

所提模型具有更强的抑制各种策略欺骗及共谋行为的能力

在信任度量准确性方面也有较大提高。

Abstract

Current trust models had some certain disadvantages in dealing with trust transitivity and trust aggregation.Firstly

these models ignored the feedback trust measurement on the direct recommender in the process of trust transitivity.Secondly

the models contained the problems of information loss or repetitive calculation for the limits in analysis and dis-posal of the dependent relationships among referral chains.A new evidential trust model was proposed

and the problems existed in current methods for transferring and aggregating trust relationships were addressed by combing D-S evidence with graph theory.It can be seen from the simulation results that compared with existing trust models

the proposed model is more robust on defending malicious attacks for various strategy cheating and collusion

and has more remarkable en-hancements in the accuracy of trust measurement.

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