MTAD-RD detects anomalous WSN nodes by fusing spatiotemporal correlations across nodes and modalities, using contrastive pretraining and few-shot joint training; it reports F1 90.97% on IBRL.
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A New Spatiotemporal Correlation Anomaly Detection Method that Integrates Contrastive Learning and Few-Shot Learning in Wireless Sensor Networks
MTAD-RD detects anomalous WSN nodes by fusing spatiotemporal correlations across nodes and modalities, using contrastive pretraining and few-shot joint training; it reports F1 90.97% on IBRL.