Gestión de la reputación en redes P2P: algoritmo de reputación de p2people

Abstract

In this paper, a new reputation management system is presented for a peer-to-peer platform called P2People. Due to peer-to-peer applications providing anonymity features, malicious peers collectives try to subvert these systems under self interests. So, additional mechanisms need to be implemented to increase the security at each node of the network. Based on human perception of trustworthiness, the P2People reputation algorithm tries to get accurate results in order to minimize the number of downloads and transactions from/with malicious peers, and at the same time to isolate them. The simulation results shown that this first approach gets to reduce hugely the number of corrupted files and the contact with undesirable peers in the network.