Physics-Aware AI Exposes Camouflaged Attacks Hiding Inside Power Grids
Researchers have developed a physics-aware graph neural network that detects power grid anomalies hidden by manipulated measurements and deceptive network ...
Researchers have developed a physics-aware graph neural network that detects power grid anomalies hidden by manipulated measurements and deceptive network ...
Researchers have developed LightViT-AD, a compact vision transformer framework that detects anomalies in aerial imagery in real time on drone ...
Researchers have developed STAAT, a transformer-based AI model that improves anomaly detection in IoT sensor networks by jointly modeling spatial ...
Researchers have developed SA-IDS, a self-supervised intrusion detection system that learns normal behavior without labeled data and adapts to drift ...
Researchers in Xi'an have developed an information-theory-based anomaly detection method that outperforms state-of-the-art algorithms on critical industrial control system benchmarks.
Researchers in India have developed a context-aware matrix completion algorithm that rebuilds missing sensor data in cognitive IoT networks with ...
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© 2025 Scienmag - Science Magazine