Future Directions of Cybersecurity in Industrial Internet of Things Through Edge Computing

As Industrial Internet of Things (IIoT) technologies and edge computing continue to evolve, the volume of data processed in real-time to optimize manufacturing processes has increased. However, this increase in connected devices also amplifies the risks associated with cyber threats. This paper examines the use of edge computing in cyber-physical systems (CPSs) to ensure security in IIoT environments. The focus is on analyzing existing security issues by comparing research related to vulnerability protection in industrial networks and proposing solutions to enhance data protection. The study includes a comparative analysis of traditional IoT and IIoT systems, as well as a proposed taxonomy of solutions with future strategies aimed at improving security within industrial networks.

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Publication Details

Published
2024-10-26
DOI
https://doi.org/10.1109/ubmk63289.2024.10773586
Citations
1
Primary Topic
Network Security and Intrusion Detection
Type
article
Field-Weighted Citation Impact
0.35
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Future Directions of Cybersecurity in Industrial Internet of Things Through Edge Computing

Tamara Zhukabayeva, Lazzat Zholshiyeva, Nurdaulet Karabayev
1 citations
Network Security and Intrusion Detection
0.35
article

Future Directions of Cybersecurity in Industrial Internet of Things Through Edge Computing

Tamara Zhukabayeva, Lazzat Zholshiyeva, Nurdaulet Karabayev
article en
1 citations

Abstract

As Industrial Internet of Things (IIoT) technologies and edge computing continue to evolve, the volume of data processed in real-time to optimize manufacturing processes has increased. However, this increase in connected devices also amplifies the risks associated with cyber threats. This paper examines the use of edge computing in cyber-physical systems (CPSs) to ensure security in IIoT environments. The focus is on analyzing existing security issues by comparing research related to vulnerability protection in industrial networks and proposing solutions to enhance data protection. The study includes a comparative analysis of traditional IoT and IIoT systems, as well as a proposed taxonomy of solutions with future strategies aimed at improving security within industrial networks.

L. N. Gumilyov Eurasian National University (KZ)
Decent work and economic growth
Openalex Percentile: Top 36%
Network Security and Intrusion Detection
0.35
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