t-robust spaces with dynamic graphs metrics for mitigating concept drift in attack detection
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.