Detecting Attacks against IoT Networks using Machine Learning at the Edge
Summary
Detecting Attacks against IoT Networks using Machine Learning at the Edge. Master's thesis at KTH. Classification of packet headers using Contiki-NG integration. Feature engineering and model building for intrusion detection.
Themes
Keywords
IoT security, intrusion detection, edge ML, Contiki-NG, packet classification
Poster
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