Automatic IoT Device Classification using Traffic Behavioral Characteristics

To protect the increasing presence of Internet of Things (IoT) devices in enterprise networks, it is necessary to detect and categorize new and existing IoT devices without relying on unencrypted data. We propose using machine learning to generalize network behavioral characteristics using data derived from the IP packet header. We capture traffic from 20 different IoT devices representing 4 distinct categories alongside a fifth category to...