I. Introduction
Cyberattacks pose a significant threat in the digital world today and effective cybersecurity solutions are needed to detect such cyberattacks. Fortunately, with the continuous advancements in machine learning and especially deep learning, automated classification techniques to detect intruders have become more and more accurate. Internet of Things (IoT) represents unique challenges to intrusion detection because given the billions of IoT devices, intrusion detection in the back-end servers will require a large amount of network and computing resources. An obvious solution is to do intrusion detection near the edge. This will distribute the required resources towards the edge and save precious bandwidth and server's computing resources.