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Crowdchain: A location preserve anonymous payment system based on permissioned blockchain

  • Northwestern Polytechnical University Xian

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

10 Scopus citations

Abstract

Participants can complete tasks on crowdsensing platform with smart mobile devices. They go to specific locations to collect data and upload them. Then, the platform pays them some rewards. However, most of the existing crowdsensing platforms are deployed on centralized servers, which are vulnerable to attack, intrusion, and manipulation. In addition, the location information in task records increases the potential risk of privacy leakage. To reach a balance between privacy protection and functional availability of the system. We design and implement Crowdchain, which is a location preserve anonymous payment system based on a permissioned blockchain. In order to disassociate participants identity information from task records, Crowdchain contains a novel protocol that makes participants transfer wallet address to payment system bypass the crowdsensing platform and receive task rewards correctly. We prove the security of our anonymous payment system by zero-knowledge proof and give the analysis result of system stability.

Original languageEnglish
Title of host publicationProceedings - 2019 IEEE International Conference on Smart Internet of Things, SmartIoT 2019
PublisherInstitute of Electrical and Electronics Engineers Inc.
Pages227-233
Number of pages7
ISBN (Electronic)9781728134888
DOIs
StatePublished - Aug 2019
Event3rd IEEE International Conference on Smart Internet of Things, SmartIoT 2019 - Tianjin, China
Duration: 9 Aug 201911 Aug 2019

Publication series

NameProceedings - 2019 IEEE International Conference on Smart Internet of Things, SmartIoT 2019

Conference

Conference3rd IEEE International Conference on Smart Internet of Things, SmartIoT 2019
Country/TerritoryChina
CityTianjin
Period9/08/1911/08/19

Keywords

  • Blockchain
  • Crowdsensing
  • Location privacy
  • Privacy preserving
  • Zero-knowledge proof

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