dc.contributor.author |
Jiang, J
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|
dc.contributor.author |
Lin, C
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|
dc.contributor.author |
Han, G
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|
dc.contributor.author |
Abu-Mahfouz, Adnan MI
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dc.contributor.author |
Shah, SBH
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dc.contributor.author |
Martínez-García, M
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dc.date.accessioned |
2024-04-12T12:32:59Z |
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dc.date.available |
2024-04-12T12:32:59Z |
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dc.date.issued |
2023-12 |
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dc.identifier.citation |
Jiang, J., Lin, C., Han, G., Abu-Mahfouz, A.M., Shah, S. & Martínez-García, M. 2023. How AI-enabled SDN technologies improve the security and functionality of industrial IoT network: Architectures, enabling technologies, and opportunities. <i>Digital Communications and Networks, 9(6).</i> http://hdl.handle.net/10204/13662 |
en_ZA |
dc.identifier.issn |
2352-8648 |
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dc.identifier.issn |
2468-5925 |
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dc.identifier.uri |
https://doi.org/10.1016/j.dcan.2022.07.001
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|
dc.identifier.uri |
http://hdl.handle.net/10204/13662
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|
dc.description.abstract |
The ongoing expansion of the Industrial Internet of Things (IIoT) is enabling the possibility of effective Industry 4.0, where massive sensing devices in heterogeneous environments are connected through dedicated communication protocols. This brings forth new methods and models to fuse the information yielded by the various industrial plant elements and generates emerging security challenges that we have to face, providing ad-hoc functions for scheduling and guaranteeing the network operations. Recently, the large development of Software-Defined Networking (SDN) and Artificial Intelligence (AI) technologies have made feasible the design and control of scalable and secure IIoT networks. This paper studies how AI and SDN technologies combined can be leveraged towards improving the security and functionality of these IIoT networks. After surveying the state-of-the-art research efforts in the subject, the paper introduces a candidate architecture for AI-enabled Software-Defined IIoT Network (AI-SDIN) that divides the traditional industrial networks into three functional layers. And with this aim in mind, key technologies (Blockchain-based Data Sharing, Intelligent Wireless Data Sensing, Edge Intelligence, Time-Sensitive Networks, Integrating SDN&TSN, Distributed AI) and improve applications based on AI-SDIN are also discussed. Further, the paper also highlights new opportunities and potential research challenges in control and automation of IIoT networks. |
en_US |
dc.format |
Fulltext |
en_US |
dc.language.iso |
en |
en_US |
dc.relation.uri |
https://www.sciencedirect.com/science/article/pii/S2352864822001420?via%3Dihub |
en_US |
dc.relation.uri |
https://doaj.org/article/7174328cb2474d1a8577104b5691f40b |
en_US |
dc.source |
Digital Communications and Networks, 9(6) |
en_US |
dc.subject |
Industrial Internet of Things |
en_US |
dc.subject |
IIoT |
en_US |
dc.subject |
Industry 4.0 |
en_US |
dc.subject |
Artificial intelligence |
en_US |
dc.subject |
Machine intelligence |
en_US |
dc.subject |
Software-Defined Networking |
en_US |
dc.subject |
SDN |
en_US |
dc.title |
How AI-enabled SDN technologies improve the security and functionality of industrial IoT network: Architectures, enabling technologies, and opportunities |
en_US |
dc.type |
Article |
en_US |
dc.description.pages |
1351–1362 |
en_US |
dc.description.note |
© 2022 Chongqing University of Posts and Telecommunications. Publishing Services by Elsevier B.V. on behalf of KeAi Communications Co. Ltd. This is an open access article under the CC BY-NC-ND license (http://creativecommons.org/licenses/by-nc-nd/4.0/) |
en_US |
dc.description.cluster |
Next Generation Enterprises & Institutions |
en_US |
dc.description.impactarea |
EDT4IR Management |
en_US |
dc.identifier.apacitation |
Jiang, J., Lin, C., Han, G., Abu-Mahfouz, A. M., Shah, S., & Martínez-García, M. (2023). How AI-enabled SDN technologies improve the security and functionality of industrial IoT network: Architectures, enabling technologies, and opportunities. <i>Digital Communications and Networks, 9(6)</i>, http://hdl.handle.net/10204/13662 |
en_ZA |
dc.identifier.chicagocitation |
Jiang, J, C Lin, G Han, Adnan MI Abu-Mahfouz, SBH Shah, and M Martínez-García "How AI-enabled SDN technologies improve the security and functionality of industrial IoT network: Architectures, enabling technologies, and opportunities." <i>Digital Communications and Networks, 9(6)</i> (2023) http://hdl.handle.net/10204/13662 |
en_ZA |
dc.identifier.vancouvercitation |
Jiang J, Lin C, Han G, Abu-Mahfouz AM, Shah S, Martínez-García M. How AI-enabled SDN technologies improve the security and functionality of industrial IoT network: Architectures, enabling technologies, and opportunities. Digital Communications and Networks, 9(6). 2023; http://hdl.handle.net/10204/13662. |
en_ZA |
dc.identifier.ris |
TY - Article
AU - Jiang, J
AU - Lin, C
AU - Han, G
AU - Abu-Mahfouz, Adnan MI
AU - Shah, SBH
AU - Martínez-García, M
AB - The ongoing expansion of the Industrial Internet of Things (IIoT) is enabling the possibility of effective Industry 4.0, where massive sensing devices in heterogeneous environments are connected through dedicated communication protocols. This brings forth new methods and models to fuse the information yielded by the various industrial plant elements and generates emerging security challenges that we have to face, providing ad-hoc functions for scheduling and guaranteeing the network operations. Recently, the large development of Software-Defined Networking (SDN) and Artificial Intelligence (AI) technologies have made feasible the design and control of scalable and secure IIoT networks. This paper studies how AI and SDN technologies combined can be leveraged towards improving the security and functionality of these IIoT networks. After surveying the state-of-the-art research efforts in the subject, the paper introduces a candidate architecture for AI-enabled Software-Defined IIoT Network (AI-SDIN) that divides the traditional industrial networks into three functional layers. And with this aim in mind, key technologies (Blockchain-based Data Sharing, Intelligent Wireless Data Sensing, Edge Intelligence, Time-Sensitive Networks, Integrating SDN&TSN, Distributed AI) and improve applications based on AI-SDIN are also discussed. Further, the paper also highlights new opportunities and potential research challenges in control and automation of IIoT networks.
DA - 2023-12
DB - ResearchSpace
DP - CSIR
J1 - Digital Communications and Networks, 9(6)
KW - Industrial Internet of Things
KW - IIoT
KW - Industry 4.0
KW - Artificial intelligence
KW - Machine intelligence
KW - Software-Defined Networking
KW - SDN
LK - https://researchspace.csir.co.za
PY - 2023
SM - 2352-8648
SM - 2468-5925
T1 - How AI-enabled SDN technologies improve the security and functionality of industrial IoT network: Architectures, enabling technologies, and opportunities
TI - How AI-enabled SDN technologies improve the security and functionality of industrial IoT network: Architectures, enabling technologies, and opportunities
UR - http://hdl.handle.net/10204/13662
ER -
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en_ZA |
dc.identifier.worklist |
27656 |
en_US |