Great attention has recently been shown to computer security. Therefore, many mechanisms have been employed or invented to increase the Peer-to-Peer (P2P) security like encryption, sandboxing, digital rights management, reputation, and firewall. Among
those technologies, 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 our anonymous, dynamic and variable P2P environment. Using the Resource Chain Model (RCM), 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 paper 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.