Paper presented at KES 2025 (Osaka) defining t-robustness and a feature engineering approach, evaluated on UGR16 enriched with graph community metrics, that produces attack-detection models more stable under concept drift.
2025.09.01Journal article (SoftwareX) presenting GPML, an open-source library that transforms raw network traffic into graph representations for community and spectral-metric-based cyberattack detection.
2024.07.30Paper presented at ARES 2024 (Vienna) introducing SpectraTW, a spectral graph analysis methodology using four spectral indicators to detect cyberattacks from network topology, with a focus on medical IoT.