Shancang Li
IEEE Access Special Section Editorial: Security and Trusted Computing for Industrial Internet of Things: Research Challenges and Opportunities
Li, Shancang; Choo, Kim-Kwang Raymond; Tan, Zhiyuan; He, Xiangjian; Hu, Jiankun; Qin, Tao
Authors
Kim-Kwang Raymond Choo
Dr Thomas Tan Z.Tan@napier.ac.uk
Associate Professor
Xiangjian He
Jiankun Hu
Tao Qin
Abstract
Industrial IoT (IIoT) interconnects critical devices and sensors in critical infrastructure sectors with existing Internet of Things (IoT) devices and applications. Generally, IIoT deployment allows organizations and users to gain invaluable insights into industrial processes and achieve high-productivity gains while reducing cost. Their role will be increasingly important as we move toward Industry 5.0. Hence, it is also crucial to understand and address any security and privacy risks that may arise, including those discussed in the articles accepted in this Special Section.
Citation
Li, S., Choo, K. R., Tan, Z., He, X., Hu, J., & Qin, T. (2020). IEEE Access Special Section Editorial: Security and Trusted Computing for Industrial Internet of Things: Research Challenges and Opportunities. IEEE Access, 8, 145033-145036. https://doi.org/10.1109/access.2020.3014416
Journal Article Type | Editorial |
---|---|
Acceptance Date | Aug 14, 2020 |
Online Publication Date | Aug 14, 2020 |
Publication Date | Aug 14, 2020 |
Deposit Date | Aug 19, 2021 |
Publicly Available Date | Aug 20, 2021 |
Journal | IEEE Access |
Publisher | Institute of Electrical and Electronics Engineers |
Peer Reviewed | Peer Reviewed |
Volume | 8 |
Pages | 145033-145036 |
DOI | https://doi.org/10.1109/access.2020.3014416 |
Keywords | General Engineering; General Materials Science; General Computer Science |
Public URL | http://researchrepository.napier.ac.uk/Output/2794487 |
Files
IEEE Access Special Section Editorial Security And Trusted Computing For Industrial Internet Of Things Re
(887 Kb)
PDF
You might also like
How Much do Robots Understand Rudeness? Challenges in Human-Robot Interaction
(2024)
Presentation / Conference Contribution
Detection of Ransomware
(2024)
Patent
A Probability Mapping-Based Privacy Preservation Method for Social Networks
(2024)
Presentation / Conference Contribution
Can Federated Models Be Rectified Through Learning Negative Gradients?
(2024)
Presentation / Conference Contribution
Downloadable Citations
About Edinburgh Napier Research Repository
Administrator e-mail: repository@napier.ac.uk
This application uses the following open-source libraries:
SheetJS Community Edition
Apache License Version 2.0 (http://www.apache.org/licenses/)
PDF.js
Apache License Version 2.0 (http://www.apache.org/licenses/)
Font Awesome
SIL OFL 1.1 (http://scripts.sil.org/OFL)
MIT License (http://opensource.org/licenses/mit-license.html)
CC BY 3.0 ( http://creativecommons.org/licenses/by/3.0/)
Powered by Worktribe © 2024
Advanced Search