A Personalized Group Trust Management System for Collaborative Services

Xiaolin Li, Huanyu Zhao
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引用次数: 1

Abstract

In this paper, we present a group trust management system S3Trust for collaborative services in peer-to-peer grid systems. S3Trust is based on personalized trust rating and selective aggregation algorithms. Leveraging the robustness of a simplistic but elegant co-constraint aggregation algorithm (inspired by H-index) under incomplete and uncertain circumstances, S3Trust offers a robust and lightweight reputation evaluation mechanism for both individual and group trusts with minimal communication and computation overheads. The five phases of S3Trust scheme are presented in detail, including trust recording, local trust evaluation, trust query phase, spatial-temporal update phase, and group reputation evaluation phases. Simulation results demonstrate that S3Trust is robust and can efficiently aggregate cooperative groups in systems with malicious users.
协同服务个性化群体信任管理系统
本文针对点对点网格系统中的协同服务,提出了一种组信任管理系统S3Trust。S3Trust基于个性化信任评级和选择性聚合算法。在不完全和不确定的情况下,S3Trust利用简单但优雅的共同约束聚合算法(受H-index的启发)的鲁棒性,为个人和群体信任提供了一个鲁棒且轻量级的声誉评估机制,并且通信和计算开销最小。详细介绍了S3Trust方案的五个阶段,包括信任记录阶段、本地信任评估阶段、信任查询阶段、时空更新阶段和群体信誉评估阶段。仿真结果表明,S3Trust算法具有鲁棒性,能够有效地在存在恶意用户的系统中聚合合作组。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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