Abstract: This paper proposes a novel framework for heterogeneous data fusion and anomaly detection in Internet of Things (IoT) systems using spatio-temporal graph neural networks (GNNs). The ...
Abstract: This paper investigates the issue of distributed secure fusion estimation in power systems under stochastic event-based (SEB) attacks. A lossless data compression method utilizing full rank ...
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