Machine Learning Enabled Intrusion Detection for Edge Devices in the Internet of Things
Maram Alsharif, Danda B. Rawat · 2023
In this paper, we present recent approaches proposed to secure the Internet of Things (IoT) devices against malicious cyber attacks and malware. As IoT devices have limited computing, storage, processing and communication capabilities, protection those devices by themselves is very challenging. Fog computing has been proposed to support resource constrained IoT devices to reduce delay caused by cloud computing. We also presented adopted ML models and datasets vs. targeted cyber attacks in a tabular form.