The increasing security requirements for distributed collaborations, as well as the trend toward large-scale and remote geographically-dispersed computer systems, have created a growing demand for better trustfulness evaluation of participants involved in the collaboration. We propose a novel local-weighted and global feedback-based reputation framework for reputation management to facilitate secure collaborations in large-scale distributed systems. Different from existing works, we evaluate feedback trustfulness of participants involved in the collaboration in our proposed framework. Experimental results show that our proposed framework is applicable, effective and robust in combating malicious participants and malicious behaviors in large-scale distributed systems such as peer-to-peer networks.
['Yiduo Mei', 'Shangyuan Guan', 'Xiaoshe Dong', 'Siyuan Ma', 'Zhao Wang']
A Framework for Reputation Management in Large-Scale Distributed Systems