Blockchain-based Privacy-Preserving Reputation Management for Crowdsensing

Lei Xu*, Yuewei Zhang, Shaorui Song, Liehuang Zhu

*Corresponding author for this work

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

Abstract

The performance of mobile crowdsensing systems heavily depends on individuals' participation and the quality of sensing data, because of which the reputation mechanism is of great necessity. However, the mechanism cannot function well if the workers in a crowdsensing system do not behave properly. In this paper, we propose a blockchain-based crowdsensing framework that can resist against the threats to data quality without compromising workers' privacy. In the proposed framework, a worker is allowed to use different pseudonyms to protect privacy. While the use of pseudonyms will obstruct service providers from evaluating the worker's reputation. To deal with this issue, we treat reputation as a special type of token, and design a ring signature-based method to anonymously transfer a worker's reputation score from one pseudonym to another. Moreover, to prevent a malicious worker from taking the advantage of pseudonyms to alter his reputation score, we propose two authentication methods that can verify the legitimacy of a worker's pseudonym in a privacy-preserving way. The effectiveness of the proposed methods is analyzed theoretically and experimentally.

Original languageEnglish
Title of host publicationConference Proceeding - 2023 4th International Conference on Computing, Networks and Internet of Things, CNIOT 2023
PublisherAssociation for Computing Machinery
Pages833-841
Number of pages9
ISBN (Electronic)9798400700705
DOIs
Publication statusPublished - 26 May 2023
Event4th International Conference on Computing, Networks and Internet of Things, CNIOT 2023 - Xiamen, China
Duration: 26 May 202328 May 2023

Publication series

NameACM International Conference Proceeding Series

Conference

Conference4th International Conference on Computing, Networks and Internet of Things, CNIOT 2023
Country/TerritoryChina
CityXiamen
Period26/05/2328/05/23

Keywords

  • blockchain
  • health monitoring
  • incentive mechanism
  • mobile crowdsensing
  • privacy preserving
  • reputation mechanism

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