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

Saved in:
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
Publish Date: 2022-10-06
Description:

Abstract

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.

see all

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:
5G
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: © 2022 IEEE. Personal use of this material is permitted. Permission from IEEE must be obtained for all other uses, in any current or future media, including reprinting/republishing this material for advertising or promotional purposes, creating new collective works, for resale or redistribution to servers or lists, or reuse of any copyrighted component of this work in other works.