Data secure storage mechanism for IIoT based on blockchain

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Wang, J., Huang, G., Sherratt, R. S. orcid id iconORCID: https://orcid.org/0000-0001-7899-4445, Huang, D. and Ni, J. (2024) Data secure storage mechanism for IIoT based on blockchain. Computers, Materials & Continua, 78 (3). pp. 4029-4048. ISSN 1546-2226 doi: 10.32604/cmc.2024.047468

Abstract/Summary

With the development of Industry 4.0 and big data technology, the Industrial Internet of Things (IIoT) is hampered by inherent issues such as privacy, security, and fault tolerance, which pose certain challenges to the rapid development of IIoT. Blockchain technology has immutability, decentralization, and autonomy, which can greatly improve the inherent defects of the IIoT. In the traditional blockchain, data is stored in a Merkle tree. As data continues to grow, the scale of proofs used to validate it grows, threatening the efficiency, security, and reliability of blockchain-based IIoT. Accordingly, this paper first analyzes the inefficiency of the traditional blockchain structure in verifying the integrity and correctness of data. To solve this problem, a new Vector Commitment (VC) structure, Partition Vector Commitment (PVC), is proposed by improving the traditional VC structure. Secondly, this paper uses PVC instead of the Merkle tree to store big data generated by IIoT. PVC can improve the efficiency of traditional VC in the process of commitment and opening. Finally, this paper uses PVC to build a blockchain-based IIoT data security storage mechanism and carries out a comparative analysis of experiments. This mechanism can greatly reduce communication loss and maximize the rational use of storage space, which is of great significance for maintaining the security and stability of blockchain-based IIoT.

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Item Type Article
URI https://reading-clone.eprints-hosting.org/id/eprint/115928
Identification Number/DOI 10.32604/cmc.2024.047468
Refereed Yes
Divisions Life Sciences > School of Biological Sciences > Biomedical Sciences
Life Sciences > School of Biological Sciences > Department of Bio-Engineering
Publisher Tech Science Press
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