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.
Authors
- Nestor D. Chatzidiamantis (ORCID: https://orcid.org/0000-0001-6763-7629)
- Antonios Lalas (ORCID: https://orcid.org/0000-0002-5337-161X)
- Ιοannis Schoinas
- Asterios Mpatziakas (ORCID: https://orcid.org/0000-0003-4385-9491)
- Dimitrios Tzovaras (ORCID: https://orcid.org/0000-0001-6915-6722)
- Anastasis Drosou (ORCID: https://orcid.org/0000-0003-4019-5124)
Institutions
- Aristotle University of Thessaloniki (GR)
- Information Technologies Institute (GR)
- Centre for Research and Technology Hellas (GR)
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