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S. Katsikas

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Preprint Aug 2026

Digital Twin Degradation: Detecting Cyber Physical Attacks via Temporal Inconsistencies

Digital Twins (DTs) are increasingly used to monitor and analyze Cyber Physical Systems (CPS). However, in adversarial environments, the fidelity of a DT cannot be assumed. Communication delays, data manipulation, sensor degradation, or partial information loss may cause the DT state to diverge from the physical proces...

Konstantinos E. Kampourakis, Vasileios Gkioulos, S. Katsikas · 1 citation
Preprint Aug 2026

Detect First, Explain Later: Training-Free Temporal-Memory Digital Twin Anomaly Detection with Post-Hoc LLM Interpretation for ICS

Industrial Control Systems (ICS) are increasingly exposed to cyber-physical attacks that manifest as subtle and temporally evolving deviations in process behavior. Detecting such anomalies requires reasoning over persistence, cross-signal dependencies, and process-level constraints. Digital Twins (DTs) encode system kn...

Konstantinos E. Kampourakis, Vasileios Gkioulos, S. Katsikas · 0 citations
Review Sep 2026

Using LLMs to Elicit Security Requirements for Service-Oriented Cyber Ranges

Findings show that LLMs can support early stages of the elicitation of security requirements, although human review is still needed, especially to improve or adjust certain aspects of the requirements.

Michail Takaronis, Athanasia Kollarou, G. Kavallieratos et al. · 0 citations
Review Aug 2026

ICS Cybersecurity Datasets: A Systematic Meta-Review of Coverage, Evaluation Practice, and Structural Gaps

A meta-review of 18 studies between 2019 and 2026, from which 83 ICS, or ICS directly related, cybersecurity datasets are identified, harmonised, and characterised using a unified five-dimensional taxonomy, identifies three structural imbalances which constrain the scope and feasibility of several evaluation practices.

Konstantinos E. Kampourakis, Vyron Kampourakis, Georgios Kambourakis et al. · 1 citation

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