The new peer-to-peer reputation-based trust model: the Resource Chain Model

Abstract

Trust-reputation controlling mechanism, as an active self-controlling method is especially useful to automatically record, analyze and even adjust peers' reputation trust credibility among the different peers so that the system can adjust itself according to the credibility changes. This kind of self-adjusting system is suitable for the anonymous, dynamic and variable P2P environment. Using the Resource Chain Model, the new P2P reputation-based trust model, we can find the best resource location both effectively and efficiently while maintaining the system security. The goal of this dissertation is to find whether the model can increase the successful download rate when the number of transactions and the number of malicious nodes are increasing. The study's results show that RCM improved the performance. Thus, this approach enables one to find a better solution to find the best resource chain in a P2P community.