IoTHound
Prashant Anantharaman, Liwei Song, Ioannis Agadakos, Gabriela Felicia Ciocarlie, Bogdan Copos, Ulf Lindqvist, Michael E. Locasto · 2020
As the Internet of Things (IoT) becomes more ingrained in our daily lives and environments, asset enumeration, characterization, and monitoring become crucial, yet challenging tasks. A vast number of gadgets in the market have a smartphone-based companion-app, making monitoring a variety of devices an overwhelming task for users. We propose IoTHound, an automated method to identify and monitor IoT devices in smart-homes.