TBSCrowd: A Blockchain-Assisted Privacy-Preserving Mobile Crowdsourcing Scheme from Threshold Blind Signatures
Publication Name
IEEE Internet of Things Journal
Abstract
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.
Open Access Status
This publication is not available as open access
Volume
11
Issue
11
First Page
19344
Last Page
19354
Funding Number
20210317191843003
Funding Sponsor
Shenzhen Fundamental Research Program