Fine-tuned BERT-small reaches 99.75% test accuracy on combined IoT-23 and TON IoT attack classification, but the claimed real-time prevention advantage over traditional methods is not demonstrated.
A comparative analysis of anomaly detection methods in iot networks: An experimental study,
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LLM-Based Threat Detection and Prevention Framework for IoT Ecosystems
Fine-tuned BERT-small reaches 99.75% test accuracy on combined IoT-23 and TON IoT attack classification, but the claimed real-time prevention advantage over traditional methods is not demonstrated.