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A Cloud-Fog Enabled and Privacy-Preserving IoT Data Market Platform Based on Blockchain

Yurong Luo, Wei You*, Chao Shang, Xiongpeng Ren, Jin Cao, Hui Li

School of Cyber Engineering, State Key Laboratory of Integrated Service Network, Xidian University, Xi’an, 710126, China

* Corresponding Author: Wei You. Email: email

(This article belongs to this Special Issue: Privacy-Preserving Technologies for Large-scale Artificial Intelligence)

Computer Modeling in Engineering & Sciences 2024, 139(2), 2237-2260.


The dynamic landscape of the Internet of Things (IoT) is set to revolutionize the pace of interaction among entities, ushering in a proliferation of applications characterized by heightened quality and diversity. Among the pivotal applications within the realm of IoT, as a significant example, the Smart Grid (SG) evolves into intricate networks of energy deployment marked by data integration. This evolution concurrently entails data interchange with other IoT entities. However, there are also several challenges including data-sharing overheads and the intricate establishment of trusted centers in the IoT ecosystem. In this paper, we introduce a hierarchical secure data-sharing platform empowered by cloud-fog integration. Furthermore, we propose a novel non-interactive zero-knowledge proof-based group authentication and key agreement protocol that supports one-to-many sharing sets of IoT data, especially SG data. The security formal verification tool shows that the proposed scheme can achieve mutual authentication and secure data sharing while protecting the privacy of data providers. Compared with previous IoT data sharing schemes, the proposed scheme has advantages in both computational and transmission efficiency, and has more superiority with the increasing volume of shared data or increasing number of participants.


Cite This Article

Luo, Y., You, W., Shang, C., Ren, X., Cao, J. et al. (2024). A Cloud-Fog Enabled and Privacy-Preserving IoT Data Market Platform Based on Blockchain. CMES-Computer Modeling in Engineering & Sciences, 139(2), 2237–2260.

cc This work is licensed under a Creative Commons Attribution 4.0 International License , which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
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