A dynamic model in P2P Services Environment for accurate and robust trust evaluations

A three-dimension dynamic trust model is proposed in this paper for trust management in P2P Services Environment. The main contributions include: presenting a three-dimension model to calculate the peer´s initial trust, direct trust and recommended trust; constructing a Gauss-bar function to evaluate the comparability of service satisfaction; distinguishing the reliability of information from different peers including friends, neighbors, stranger and blacklist peers; setting some parameters in computing recommendation trust, such as recommendation consistency, recommendation accuracy, and recommendation errors, which let trust evaluation become more natural and precise, and so on. Theoretic analysis and simulations show that the proposed trust model is more precise and more robust than previous works.