Novel Classification of IoT Devices Based on Traffic Flow Features

The concept of IoT (Internet Things) assumes a continuous increase in the number devices, which raises problem classifying them for different purposes. Based on their semantic characteristics, meaning, functionality or domain usage, system classes have been identified so far. This research purpose is to identify devices based traffic flow characteristics such as coefficient variation received and sent data ratio. Such specified can combine behavior predictability serve basis creation network management anomaly detection classification models. Four generic where defined by using method.