Martin Nahalka
Email: m.nahalka.1@research.gla.ac.uk
Research title: Machine-learning based cyber resilience for the CNI
Research Summary
My research focuses on Anomaly Detection, with a particular focus on normal profiling. I am exploring ways in which Graph Neural Networks can be used to improve detection and improve explainability.
Publications
2024
Nahalka, Martin, Cook, Marco M. 
ORCID: https://orcid.org/0000-0002-5232-2381 and Pezaros, Dimitrios ORCID: https://orcid.org/0000-0003-0939-378X
(2024)
The Good, the Bad and the Ugly: Investigating the Effectiveness of Graph Deep Neural Networks for Anomaly Detection in Industrial Control Systems.
In: IFIP International Internet of things (IoT) Conference, Nice, France, 6-8 November 2024,
pp. 21-36.
ISBN 9783031819001
(doi: 10.1007/978-3-031-81900-1_2)
Conference Proceedings
Nahalka, Martin, Cook, Marco M. ORCID: https://orcid.org/0000-0002-5232-2381 and Pezaros, Dimitrios ORCID: https://orcid.org/0000-0003-0939-378X
(2024)
The Good, the Bad and the Ugly: Investigating the Effectiveness of Graph Deep Neural Networks for Anomaly Detection in Industrial Control Systems.
In: IFIP International Internet of things (IoT) Conference, Nice, France, 6-8 November 2024,
pp. 21-36.
ISBN 9783031819001
(doi: 10.1007/978-3-031-81900-1_2)
