Blockchain-Based Reliable and Privacy-Aware Crowdsourcing With Truth and Fairness Assurance

【Author】 Wu, Haiqin; Dudder, Boris; Wang, Liangmin; Sun, Shipu; Xue, Guoliang

【Source】IEEE INTERNET OF THINGS JOURNAL

【影响因子】10.238

【Abstract】The ubiquity of crowdsourcing has reshaped the static sensor-enabled data sensing paradigm with cost efficiency and flexibility. Still, most existing triangular crowdsourcing systems only work under the centralized trust assumption and suffer from various attacks mounted by malicious users. Although incorporating the emerging blockchain technology into crowdsourcing provides a possibility to mitigate some of the issues, how to concretely implement the crucial components and their functionalities in a verifiable and privacy-aware manner remains unaddressed. In this article, we present BRPC, a blockchain-based decentralized system for general crowdsourcing. BRPC integrates the confident-aware truth discovery algorithm to provide task requesters with reliable task truths while evaluating each worker's data quality. To mitigate the biased evaluation of malicious requesters, we propose a privacy-aware verification protocol leveraging the threshold Paillier cryptosystem, with which a certain number of workers can collaboratively verify the evaluation results without knowing any sensory data. Furthermore, we define the three roles of a user and elaborate a comprehensive reputation evaluation model enforced by smart contracts for its trustworthy running. Financial and social incentives are both offered to motivate users' honest participation. Finally, we implement a prototype of BRPC and deploy it on the Ethereum blockchain. Theoretical analyses and experiment results show its security and practicality.

【Keywords】Task analysis; Crowdsourcing; Blockchains; Reliability; Data integrity; Cryptography; Smart contracts; Blockchain; crowdsourcing; privacy; truth discovery (TD); verifiability

【发表时间】2022 MAR 1

【收录时间】2022-03-22

【文献类型】期刊

【主题类别】

区块链应用-众包领域-