Fog computing and blockchain-based security service architecture for 5G industrial IoT-enabled cloud manufacturing |
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Author: | Hewa, Tharaka1; Braeken, An2; Liyanage, Madhusanka3,1; |
Organizations: |
1Center for Wireless Communications, University of Oulu, 90570 Oulu, Finland 2Vrije Universiteit Brussel, 1050 Brussels, Belgium 3School of Computer Science, University College Dublin, Dublin 4, Ireland |
Format: | article |
Version: | accepted version |
Access: | open |
Online Access: | PDF Full Text (PDF, 2.9 MB) |
Persistent link: | http://urn.fi/urn:nbn:fi-fe2022100661269 |
Language: | English |
Published: |
Institute of Electrical and Electronics Engineers,
2022
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Publish Date: | 2022-10-06 |
Description: |
AbstractRecent evolution of the industrial Internet of Things empowers the classical manufacturing model with cloud computing integration for Industry 4.0. Cloud integration advances the capabilities of manufacturing systems with cloud-based controlling and real-time process monitoring, which is renowned as cloud manufacturing (CM). However, cloud integration exposes the entire manufacturing ecosystem to a new set of security risks and increments in end-to-end latency. Moving security services toward the edge eradicates message routing latency toward the cloud and eliminates the central point of failure while leveraging the entire system’s performance. We propose a blockchain and fog-computing-enabled security service architecture that operates on fog nodes at the edge of manufacturing equipment clusters. The proposed service facilitates CM equipment authentication and equipment-cloud channel privacy protection while preserving anonymity and unlinkability over the blockchain. We implemented the proposed architecture with hyperledger fabric and compared the performance advantage over the state-of-the-art solutions. see all
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Series: |
IEEE transactions on industrial informatics |
ISSN: | 1551-3203 |
ISSN-E: | 1941-0050 |
ISSN-L: | 1551-3203 |
Volume: | 18 |
Issue: | 10 |
Pages: | 7174 - 7185 |
DOI: | 10.1109/tii.2022.3140792 |
OADOI: | https://oadoi.org/10.1109/tii.2022.3140792 |
Type of Publication: |
A1 Journal article – refereed |
Field of Science: |
213 Electronic, automation and communications engineering, electronics |
Subjects: | |
Funding: |
This work was supported by the Academy of Finland in 6Genesis Flagship Project
under Grant 318927. Paper no. TII-21-4404. |
Academy of Finland Grant Number: |
318927 |
Detailed Information: |
318927 (Academy of Finland Funding decision) |
Copyright information: |
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