Random Forest achieves the highest F1-score of 0.99 among five ML models evaluated on the Gotham2025 IoT intrusion dataset.
Internet of things: Applications and challenges in technol- ogy and standardization.Wireless Personal Communications, 58(1):49–69, 2011
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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.