Analyzing the Feasibility and Generalizability of Fingerprinting Internet of Things Devices

We show that not only is it possible to effectively fingerprint 188 IoT devices (with over 97% accuracy), but also to do so even with multiple instances of the same make-and-model device. We also analyze the extent to which temporal, spatial and data-collection- methodology differences impact fingerprinting accuracy. Our analysis sheds light on features that are more ro- bust against varying conditions