Passive IoT device fingerprinting using WiFi

Recent computing and hardware advances have resulted in the proliferation of autonomous embedded networked devices in modern homes and industrial production systems which comprises several IoT devices in different physical environments. In this work, we take the first step towards investigating the feasibility of IoT devices fingerprinting by analyzing their WiFi packet signal level information along with MAC level information. We consider a scenario where a commodity WiFi Access Point is configured to passively listen to the WiFi packets and extract not only their MAC layer information but also the signal level information. Using such information, our results demonstrate that the adversary can successfully build fingerprinting profiles for different IoT devices.