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TBSCrowd: A Blockchain-Assisted Privacy-Preserving Mobile Crowdsourcing Scheme from Threshold Blind Signatures

journal contribution
posted on 2024-11-17, 15:02 authored by Jinhui Liu, Shunyu Dong, Jiaming Wen, Bo Tang, Yong Yu
Mobile crowdsourcing is the practice of hiring a number of people (workers) at a low cost to complete tasks that are typically difficult to complete individually. However, in the IoT era, how to achieve lightweight privacy preservation and evaluate the trust of human mobility are crucial matters. Therefore, this article proposes a blockchain assisted privacy-preserving mobile crowdsourcing scheme based on threshold blind signatures (TBSCrowd for short). We design a blockchain assisted privacy-preserving mobile crowdsourcing scheme which can preserve security, robustness, fairness while reducing computation and communication overheads of scheme. To achieve the properties of privacy, unforgeability and robustness, we propose robust asynchronous ECC threshold signatures. Simulations are conducted to show the performance of the TBSCrowd scheme, and the experiment results demonstrate that our construction significantly outperforms some related schemes in security and other related aspects.

Funding

Shenzhen Fundamental Research Program (2.02103E+16)

History

Journal title

IEEE Internet of Things Journal

Volume

11

Issue

11

Pagination

19344-19354

Language

English

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