Deciphering Standards for cybersecurity in Industry 4.0: Advisory AI for Cybersecure IIoT

Industry 4.0 (I4.0) constitutes a paradigm shift in industrial production methodologies, primarily characterized by the integration of Information Technology (IT) and Operational Technology (OT). This fusion is anticipated to improve efficiency, sustainability, and flexibility. Nevertheless, it concurrently introduces a spectrum of cybersecurity challenges. Moreover, the Industrial Internet of Things (IIoT) employs technologies such as 5 G, edge computing, and artificial intelligence (AI) to enable real-time automation and decision-making, resulting in highly interconnected systems that are susceptible to emerging risks. The rapid integration of IT, OT, and IIoT technologies enlarges the attack surface, making robust cybersecurity standards essential to safeguard critical infrastructure and maintain operational continuity. This paper presents an application based on Large Language Models for simplified cybersecurity compliance, advice to mitigate vulnerabilities and enhance resilience.

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Publication Details

Published
2025-08-04
DOI
https://doi.org/10.1109/csr64739.2025.11130103
Citations
1
Primary Topic
Ethics and Social Impacts of AI
Type
article
Field-Weighted Citation Impact
2.37
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article

Deciphering Standards for cybersecurity in Industry 4.0: Advisory AI for Cybersecure IIoT

Nestor D. Chatzidiamantis, Antonios Lalas, Ιοannis Schoinas, Asterios Mpatziakas et al.
1 citations
Ethics and Social Impacts of AI
2.37
article

Deciphering Standards for cybersecurity in Industry 4.0: Advisory AI for Cybersecure IIoT

Nestor D. Chatzidiamantis, Antonios Lalas, Ιοannis Schoinas, Asterios Mpatziakas, Dimitrios Tzovaras, Anastasis Drosou
article en
1 citations

Abstract

Industry 4.0 (I4.0) constitutes a paradigm shift in industrial production methodologies, primarily characterized by the integration of Information Technology (IT) and Operational Technology (OT). This fusion is anticipated to improve efficiency, sustainability, and flexibility. Nevertheless, it concurrently introduces a spectrum of cybersecurity challenges. Moreover, the Industrial Internet of Things (IIoT) employs technologies such as 5 G, edge computing, and artificial intelligence (AI) to enable real-time automation and decision-making, resulting in highly interconnected systems that are susceptible to emerging risks. The rapid integration of IT, OT, and IIoT technologies enlarges the attack surface, making robust cybersecurity standards essential to safeguard critical infrastructure and maintain operational continuity. This paper presents an application based on Large Language Models for simplified cybersecurity compliance, advice to mitigate vulnerabilities and enhance resilience.

Aristotle University of Thessaloniki (GR), Information Technologies Institute (GR), Centre for Research and Technology Hellas (GR)
Openalex Percentile: Top 10%
Ethics and Social Impacts of AI
2.37
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Deciphering Standards for cybersecurity in Industry 4.0: Advisory AI for Cybersecure IIoT — Nestor D. Chatzidiamantis, Antonios Lalas, et al. · (2025) | TGRS Research Map | TGRS