Tailored trustworthiness estimations in peer-to-peer networks

In peer-to-peer (P2P) communities, users make personal trust evaluations of each other based on their experiences and observations. The available information of the peer´s past behavior, i.e. reputation, is often incomplete, the credibility of evaluations is a concern and the relevance of the available information varies. In this paper, we propose functions for producing tailored trustworthiness estimations in P2P communities based on the peers past behavior. The presented mechanism provides some flexibility on applying it in different kinds of P2P networks.