AINeutralarXiv – CS AI · 9h ago6/10
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Federated Spatiotemporal Graph Learning for Passive Attack Detection in Smart Grids
Researchers present a federated learning approach to detect passive eavesdropping attacks in smart grids by combining graph neural networks with temporal modeling. The system achieves 98.32% per-timestep accuracy while preserving data privacy through decentralized training, addressing a critical vulnerability in grid infrastructure where attackers silently gather topology and consumption data.