WIM: A Wage-based Incentive Mechanism for Reinforcing Truthful Feedbacks in Reputation Systems


Abstract—The success of current trust and reputation systems is on the premise that truthful feedbacks are obtained. However, without appropriate mechanisms, silent and lying strategies usually yield higher payoffs for peers than truthful feedback strategies. Thus, to ensure trustworthiness, incentive mechanisms are critically needed for a reputation system to encourage rational peers to provide truthful feedbacks. In this paper, we model the feedback reporting process in reputation system as a reporting game. We propose a Wage-based Incentive Mechanism (WIM) for enforcing truthful report in self-interested P2P networks. We design, implement, and analyze incentive mechanisms and play-ers ’ strategies. The extensive simulation results demonstrate that the proposed incentive mechanisms reinforce truthful feedbacks and achieve optimal welfare. I

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