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Reliable and Secure Data Sharing in Decentralized Mobile Crowd Systems

Published: 02 October 2021 Publication History

Abstract

Mobile crowd sensing (MCS) systems, which offer a great opportunity to fully take advantage of wisdom of the crowd, naturally benefits from low deployment cost and widely spatial coverage. Due to failure or risk caused by a central server, we study the problem of constructing an efficient mobile crowd sensing system with untrustworthy participants in a decentralized manner. We propose an efficient and practical decentralized MCS system based on a distributed auction process and the blockchain system. The proposed method achieves the optimal social profit iteratively satisfying individual rationality and protecting their privacy, through a neutral, public and trustful platform. Both theoretical analysis and numerical experiment show the effectiveness of the proposed approach.

References

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    cover image ACM Other conferences
    ACM TURC '21: Proceedings of the ACM Turing Award Celebration Conference - China
    July 2021
    284 pages
    ISBN:9781450385671
    DOI:10.1145/3472634
    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 ACM 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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    Association for Computing Machinery

    New York, NY, United States

    Publication History

    Published: 02 October 2021

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    Author Tags

    1. Blockchain
    2. auction
    3. data trading
    4. mobile crowd sensing

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    • Shanghai Science and Technology Committee

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