Random Forest achieves the highest F1-score of 0.99 among five ML models evaluated on the Gotham2025 IoT intrusion dataset.
Internet-of-things security and vulnerabilities: Case study.Journal of Applied Security Research, 18(3):559–575, 2023
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Comparative Analysis of Machine Learning based Intrusion Detection in Realistic IoT Networks
Random Forest achieves the highest F1-score of 0.99 among five ML models evaluated on the Gotham2025 IoT intrusion dataset.