Binary Anomaly Detection in Streaming IoT Traffic under Concept Drift

Rodrigo Matos Carnier, Laura Lahesoo, Kensuke Fukuda

With the growing volume of Internet of Things (IoT) network traffic, machine learning (ML)-based anomaly detection is more relevant than ever. Traditional batch learning models fac…