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Article

A Blockchain-Based Privacy-Preserving and Fair Data Transaction Model in IoT

1
School of Information and Control Engineering, Qingdao University of Technology, Qingdao 266520, China
2
Qingdao Haier Smart Technology R&D Co., Ltd., Qingdao 266101, China
3
College of Internet of Things Engineering, Hohai University, Changzhou 213022, China
*
Author to whom correspondence should be addressed.
Appl. Sci. 2023, 13(22), 12389; https://doi.org/10.3390/app132212389
Submission received: 19 October 2023 / Revised: 13 November 2023 / Accepted: 14 November 2023 / Published: 16 November 2023

Abstract

The rapid development of the Internet of Things (IoT) has resulted in vast amounts of widely distributed data. Sharing these data can spur innovative advancements and enhance service quality. However, conventional data-sharing methods often involve third-party intermediaries, posing risks of single-point failures and privacy leaks. Moreover, these traditional sharing methods lack a secure transaction model to compensate for data sharing, which makes ensuring fair payment between data consumers and providers challenging. Blockchain, as a decentralized, secure, and trustworthy distributed ledger, offers a novel solution for data sharing. Nevertheless, since all nodes on the blockchain can access on-chain data, data privacy is inadequately protected, and traditional privacy-preserving methods like anonymization and generalization are ineffective against attackers with background knowledge. To address these issues, this paper proposes a decentralized, privacy-preserving, and fair data transaction model based on blockchain technology. We designed an adaptive local differential privacy algorithm, MDLDP, to protect the privacy of transaction data. Concurrently, verifiable encrypted signatures are employed to address the issue of fair payment during the data transaction process. This model proposes a committee structure to replace the individual arbitrator commonly seen in traditional verifiable encrypted signatures, thereby reducing potential collusion between dishonest traders and the arbitrator. The arbitration committee leverages threshold signature techniques to manage arbitration private keys. A full arbitration private key can only be collaboratively constructed by any arbitrary t members, ensuring the key’s security. Theoretical analyses and experimental results reveal that, in comparison to existing approaches, our model delivers enhanced transactional security. Moreover, while guaranteeing data availability, MDLDP affords elevated privacy protection.
Keywords: blockchain; Internet of Things; data transaction; local differential privacy; verifiable encrypted signature blockchain; Internet of Things; data transaction; local differential privacy; verifiable encrypted signature

Share and Cite

MDPI and ACS Style

Zhou, W.; Zhang, D.; Han, G.; Zhu, W.; Wang, X. A Blockchain-Based Privacy-Preserving and Fair Data Transaction Model in IoT. Appl. Sci. 2023, 13, 12389. https://doi.org/10.3390/app132212389

AMA Style

Zhou W, Zhang D, Han G, Zhu W, Wang X. A Blockchain-Based Privacy-Preserving and Fair Data Transaction Model in IoT. Applied Sciences. 2023; 13(22):12389. https://doi.org/10.3390/app132212389

Chicago/Turabian Style

Zhou, Wei, De Zhang, Guangjie Han, Wenyin Zhu, and Xupeng Wang. 2023. "A Blockchain-Based Privacy-Preserving and Fair Data Transaction Model in IoT" Applied Sciences 13, no. 22: 12389. https://doi.org/10.3390/app132212389

APA Style

Zhou, W., Zhang, D., Han, G., Zhu, W., & Wang, X. (2023). A Blockchain-Based Privacy-Preserving and Fair Data Transaction Model in IoT. Applied Sciences, 13(22), 12389. https://doi.org/10.3390/app132212389

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