Author

S. Gritzalis

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#reinforcement learning Open access Sep 2026

Dynamic defense strategies for cyber-physical systems using Stackelberg games and deep reinforcement learning in discrete and continuous time

This study presents a dual-domain defense framework that combines Stackelberg game theory with Deep Reinforcement Learning that offers a robust, adaptable toolset for CPS defense by clarifying the trade-offs between temporal abstractions in nonlinear and dynamic environments.

A. Raptis, S. Gritzalis, A. Yannacopoulos · International Journal of Inf... · 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