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Research on Multi-level Location Privacy Protection for Mobile Crowd Sensing based on Blockchain

Published: 07 September 2023 Publication History

Abstract

To address the leakage problem of user location privacy in mobile crowd sensing, a blockchain-based multi-level location privacy protection scheme for mobile crowd sensing is proposed. It uses private chains to decentralize user transaction records. Combined with the order-preserving encryption algorithm and the multi-level privacy cost mechanism, the server can allocate task rewards even when the users’ personalized location privacy is protected. Smart contracts are adopted to realize workers’ autonomous choice of tasks and ensure safe and fair transactions. Through experimental analysis and verification, the proposed scheme not only achieves anonymity, confidentiality, verifiability, and anti-tampering, but also prevents link attacks. Compared with the average reward allocation mechanism, the proposed probability reward distribution mechanism has improved the success rate of task allocation by 15.1%. In addition, the encryption and decryption computation cost is lower than that of related advanced schemes.

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          cover image ACM Other conferences
          ICMLC '23: Proceedings of the 2023 15th International Conference on Machine Learning and Computing
          February 2023
          619 pages
          ISBN:9781450398411
          DOI:10.1145/3587716
          Permission to make digital or hard copies of all or part of this work for personal or classroom use is granted without fee provided that copies are not made or distributed for profit or commercial advantage and that copies bear this notice and the full citation on the first page. Copyrights for components of this work owned by others than the author(s) must be honored. Abstracting with credit is permitted. To copy otherwise, or republish, to post on servers or to redistribute to lists, requires prior specific permission and/or a fee. Request permissions from [email protected].

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          Published: 07 September 2023

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          Author Tags

          1. Blockchain
          2. Location privacy
          3. Mobile crowd-sensing
          4. OPE
          5. Personalized privacy protection

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