Privacy-Preserving Verifiable Incentive Mechanism for Crowdsourcing Markets

Recently, Singer et al. present a class of new mechanisms for determining near-optimal prices of tasks for crowdsourcing market with the budget constraint. In particular, the mechanisms can motivate extensive user to participating in crowdsourcing market. Although it is so important in real-life environments, there still exist many security and privacy challenges. In this paper, we present a privacy-preserving verifiable incentive mechanism for crowdsourcing markets with the budget constraint, not only to exploit how to protect the bids and assignments' privacy in crowdsourcing markets with homogeneous jobs and heterogeneous jobs from participants and identity privacy, but also to make the verifiable payment between the platform and users for crowdsourcing applications. Results indicate that our privacy-preserving posted pricing mechanisms achieve the same results as the generic one without privacy preservation.