The Internet of Things (IoT) is being hailed as the next wave revolutionizing our society, and smart homes, enterprises, and cities are increasingly being equipped with a plethora of IoT devices. Yet, operators of such smart environments may not even be fully aware of their IoT assets, let alone whether each IoT device is functioning properly safe from cyber-attacks. We address these challenges by developing a robust framework for IoT device classification using traffic characteristics obtained at the network level.
We instrument a smart environment with more than 28 different IoT devices spanning cameras, lights, plugs, motion sensors, appliances and health-monitors. We collect and synthesize traffic traces from this infrastructure for a period of 6 months, a subset of which we release here as open data for the use of community. Also, we present insights into the underlying network traffic characteristics using statistical attributes such as activity cycles, port numbers, signalling patterns and cipher suites.