Fine-tuned open-source LLMs outperform classical ML classifiers on multiclass attack classification in the Edge-IIoTset dataset, while the mitigation-quality claims rest on a self-referential evaluation.
Anomaly intrusion detection using one class svm,
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Evaluating Language Models For Threat Detection in IoT Security Logs
Fine-tuned open-source LLMs outperform classical ML classifiers on multiclass attack classification in the Edge-IIoTset dataset, while the mitigation-quality claims rest on a self-referential evaluation.