Title :
A Personalized Group Trust Management System for Collaborative Services
Author :
Li, Xiaolin ; Zhao, Huanyu
Author_Institution :
Dept. of Comput. Sci., Oklahoma State Univ., Stillwater, OK
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.
Keywords :
grid computing; groupware; peer-to-peer computing; security of data; S3Trust; co-constraint aggregation algorithm; collaborative services; group reputation evaluation; local trust evaluation; malicious users; peer-to-peer grid systems; personalized group trust management system; personalized trust rating; selective aggregation algorithm; spatial-temporal update; trust query; trust recording; Collaboration; Collaborative software; Computer applications; Computer science; Laboratories; Large-scale systems; Peer to peer computing; Robustness; Software systems; Taxonomy;
Conference_Titel :
Computer Communications and Networks, 2008. ICCCN '08. Proceedings of 17th International Conference on
Conference_Location :
St. Thomas, US Virgin Islands
Print_ISBN :
978-1-4244-2389-7
Electronic_ISBN :
1095-2055
DOI :
10.1109/ICCCN.2008.ECP.178