A Personalized Group Trust Management System for Collaborative Services

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.