Trust and reputation model in peer-to-peer networks

Abstract

It is important to enable peers to represent and update their trust in other peers in open networks for sharing files, and especially services. In this paper, we propose a Bayesian network-based trust model and a method for building reputation based on recommendations in peer-topeer networks. Since t rust is multi-faceted, peers need to develop differentiated trust in different aspects of other peers' capability. The peer's needs are different in different situations. Depending on the situation, a peer may need to consider its trust in a specific aspect of another peer's capability or in multiple aspects. Bayesian networks provide a flexible method to present differentiated trust and combine different aspects of trust. The evaluation of the model using a simulation shows that the system where peers communicate their experiences (recommendations) outperforms the system where peers do not share recommendations with each other and that a differentiated trust adds to the performance in terms of percentage of successful interactions.

Can reputation migrate? On the propagation of reputation in multi-context communities

“…The notion of reputation has been employed in various application areas, such as electronic market places [19], peer to peer systems [18], information sharing communities [4], and recommender systems [3], to name a few. It is believed that the formalization of reputation is a context-dependent process.…”

Minimising Anonymity Loss in Anonymity Networks under DoS Attacks

“…Trust-and-reputation-based metrics are quite popular in this domain [1,6,7,10,25,26]. Enhancing the reliability by trust and reputation, not only does improve the system's usability, but may also increase its anonymity guarantee.…”

“…In particular, trust-and-reputation-based metrics have become quite popular in this domain [1,6,7,10,25,26]. Yet, introducing trust into the picture opens the flank to new security attacks, exploiting trust mechanisms explicitly, as proved in [24].…”

An Overview of Trust Models and Proposal of New Model Based on Reputation for Resource Selection in Grid Computing

“…They claim that feed back values only are not enough for the calculation of trust and reputation. Y. Wang and J. Vassileva [6] propose a reputation model based on Bayesian network. According to their model the peers needs are different in different situations.…”