A computation trust model with confidence in unstructured P2P systems

Abstract

Trust is a fundamental issue in Pervasive computing, especially when they are applied in unstructured P2P systems. The computational models of trust play an important role in determining who and how to interact in open and dynamic environments. However, current models are not efficient or scalable enough with the expansion of system. To this end, a computation trust model with confidence is proposed in our paper, in which peers can autonomously deal with the biased information and identify trust with confidence in unstructured P2P systems with low overhead and better efficiency.