Integration of Blockchain and Mobile Crowdsensing by Trust-Preserving Mechanism

Zhang, L., Qin, S., Feng, G., Li, X. and Sun, Y. (2022) Integration of Blockchain and Mobile Crowdsensing by Trust-Preserving Mechanism. In: 2022 IEEE Global Communications Conference (GLOBECOM), Rio de Janeiro, Brazil, 04-08 Dec 2022, pp. 3748-3753. ISBN 9781665435406 (doi: 10.1109/GLOBECOM48099.2022.10001120)

Abstract

Blockchain has been regarded as one of the promising technologies to address trust concern in data-driven mobile crowdsensing (MCS), due to its auditability, immutability and decentralization. However, simply applying blockchain in MCS while ignoring possible abnormal saboteurs hidden in numerous devices may mislead the normal operation of blockchain, resulting in untrustworthy interactions. Consequently, it is highly desirable to build a trust-preserving mechanism (TPM) to bridge the gap between MCS and blockchain. To this end, we first resort to a probabilistic trust assessment inferred from the interaction outcomes in blockchain, to incentivize normal nodes to maintain trustworthiness of interactions. Assisted by the trust assessment, trust decision is further made to filter untrusted nodes from participating in blockchain process. Simulation experiments are conducted to validate the effectiveness and efficiency of the proposed TPM-enabled blockchain in terms of contribution rate and consensus accuracy.

• Item Type: Conference Proceedings
• Additional Information: This work was supported in part by the National Key R&D Program of China under Grant 2020YFB1806804, in part by the National Natural Science Foundation of China under Grant 61871099, and in part by the Guangdong Basic and Applied Basic Research Foundation under No. 2021A1515110599.
• Status: Published
• Refereed: Yes
• Glasgow Author(s) Enlighten ID: Sun, Dr Yao and Feng, Professor Gang
• Authors: Zhang, L., Qin, S., Feng, G., Li, X., and Sun, Y.
• College/School: College of Science and Engineering > School of Engineering; College of Science and Engineering > School of Engineering > Autonomous Systems and Connectivity
• ISBN: 9781665435406
• Published Online: 11 January 2023
• Copyright Holders: Copyright © 2022 IEEE
• First Published: First published in 2022 IEEE Global Communications Conference (GLOBECOM): 3748-3753
• Publisher Policy: Reproduced in accordance with the publisher copyright policy

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