University of Oulu

T. Hewa, A. Braeken, M. Liyanage and M. Ylianttila, "Fog Computing and Blockchain-Based Security Service Architecture for 5G Industrial IoT-Enabled Cloud Manufacturing," in IEEE Transactions on Industrial Informatics, vol. 18, no. 10, pp. 7174-7185, Oct. 2022, doi: 10.1109/TII.2022.3140792

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)
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Language: English
Published: Institute of Electrical and Electronics Engineers, 2022
Publish Date: 2022-10-06


Recent 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.

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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
Type of Publication: A1 Journal article – refereed
Field of Science: 213 Electronic, automation and communications engineering, electronics
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)
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