Blockchain-enabled Decentralized Anonymous Crowdsourcing Based on Anonymous Payments

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Zhu, Hanwei
Wang, Nan
Chau, Sid Chi Kin
Khonji, Majid

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Institute of Electrical and Electronics Engineers Inc.

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Research Projects

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Abstract

Decentralizing crowdsourcing using blockchain removes the trusted mediator who may cause social biases in data aggregation and uncertainties in ensuring proper rewards to workers. Permissionless blockchain discloses all data on public ledgers, which compromises the privacy and anonymity of workers and induces free-riders. State-of-the-art anonymous crowdsourcing systems enable anonymity through identity registration of workers and a trusted setup for key generation. However, these systems fail to support anonymous payments to workers, which may compromise the identities of workers. In this paper, we incorporate anonymous payments in crowdsourcing and dispense with identity registration and trusted setup to support open anonymous participation from any worker. Our solution is based on the decentralized anonymous payment systems (e.g., Zerocoin), commitment schemes, and efficient non-interactive zero-knowledge proofs.

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2023 IEEE International Conference on Blockchain and Cryptocurrency, ICBC 2023

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