Author

J. Moss

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Open access Sep 2026

Machine Learning-Based Anomaly Detection for Traffic in IoT-Enabled Transportation Networks

This study investigates the effectiveness of maching learning approaches for supervised malicious traffic classification in IoT networks using the ACI-IoT-2023 dataset and shows strong classification performance across the evaluated approaches.

Connor Gladish, Molly Corgan, J. Moss et al. · Electronics · 0 citations