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

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Jump to: 2024
Number of items: 1.

2024

Nahalka, M., Cook, M. M. and Pezaros, D. (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, (Accepted for Publication)

This list was generated on Tue Jan 21 01:07:55 2025 GMT.
Number of items: 1.

Conference Proceedings

Nahalka, M., Cook, M. M. and Pezaros, D. (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, (Accepted for Publication)

This list was generated on Tue Jan 21 01:07:55 2025 GMT.