AINeutralarXiv – CS AI · 6h ago6/10
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Securing Time Integrity in Energy IoT Against Clock Drift and Y2K38 Failures
Researchers introduce STGAT, a spatio-temporal graph attention network designed to detect timing anomalies in energy IoT systems caused by clock drift, synchronization failures, and Y2K38 Unix overflow events. The framework achieves 95.7% accuracy in identifying temporal inconsistencies that traditional anomaly detection systems miss, with 26% faster detection speeds.