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Blockchain-Based Secure Data Storage Protocol for Sensors in the Industrial Internet of Things
- Source :
- IEEE Transactions on Industrial Informatics. 18:5422-5431
- Publication Year :
- 2022
- Publisher :
- Institute of Electrical and Electronics Engineers (IEEE), 2022.
-
Abstract
- The Industrial Internet of Things (IIoT) which introduces Internet of Things (IoT) technology into industrial environments is beneficial to construct smart factories. It utilizes various sensors to collect the data of industrial devices. Those data will be analysed to improve manufacturing efficiency and product quality. Cloud storage provides a solution for storing data outsourced, especially for sensors that have limited local storage and computational capacity. To ensure the privacy preserving of devices, the collected data should be stored in the formal of ciphertext. Therefore, encrypted data sharing should be implemented to analyse the devices data. In this paper, the cloud storage solution for sensors is considered. To achieve secure and efficient data storage and sharing, a novel group signature scheme, which has less computation overhead and communication overhead, is designed to realize anonymous authentication firstly. And then, a novel blockchain-based cloud storage protocol for sensors in IIoT is constructed on basis of the proposed group signature scheme. Smart contract and proxy re-encryption are utilized in this protocol to realize secure data sharing with less computational overhead. Furthermore, security proofs and performance evaluations demonstrate that this protocol is secure, privacy-preserving, and has at least 40% and 20% performance improvement in data storage and sharing phase, respectively.
- Subjects :
- Smart contract
business.industry
Computer science
Cloud computing
Group signature
Encryption
Computer Science Applications
Data sharing
Control and Systems Engineering
Computer data storage
Overhead (computing)
Electrical and Electronic Engineering
business
Cloud storage
Information Systems
Computer network
Subjects
Details
- ISSN :
- 19410050 and 15513203
- Volume :
- 18
- Database :
- OpenAIRE
- Journal :
- IEEE Transactions on Industrial Informatics
- Accession number :
- edsair.doi...........0cc7da05abb3bc1a1fe16697fea0a40b