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Oluwaseun Bamgbose

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Open access Aug 2026

Machine Learning-Based Intrusion Detection for Smart City Internet of Things Networks

This study investigates the effectiveness of supervised machine learning techniques for detecting cyberattacks in IoT-based smart city networks using the TON_IoT dataset, finding that advanced ensemble learning combined with robust feature engineering provides a reliable and scalable solution for securing smart city IoT networks.

E. Okonta, Oluwaseun Bamgbose · 0 citations

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