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XAI-based anomaly detector for the smart grid to protect against sophisticated cyber threats
SUNY Poly Assistant Professor Dr. Mahmoud Badr and peers have published new research in Applied Sciences titled "XAI-Based Accurate Anomaly Detector That Is Robust Against Black-Box Evasion Attacks ...
The North American power grid's interconnectedness creates a broad attack surface vulnerable to cyber threats like ransomware and disruption. FERC's new CIP-015-1 standard emphasizes securing ...
AWARE uses waveform signatures to detect and classify early-stage grid faults, enabling proactive intervention. The system combines physics-based models with AI/ML to interpret subtle electrical ...
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