200 citations · 433 across the 13 of their papers we have counts for
4 papers · 1 filter
The Case for Retraining of ML Models for IoT Device Identification at the Edge
Roman Kolcun, Diana Andreea Popescu, Vadim Safronov +5
Internet-of-Things (IoT) devices are known to be the source of many security problems, and as such they would greatly benefit from automated management. This requires robustly iden…
Position paper: A systematic framework for categorising IoT device fingerprinting mechanisms
Poonam Yadav, Angelo Feraudo, Budi Arief +2
The popularity of the Internet of Things (IoT) devices makes it increasingly important to be able to fingerprint them, for example in order to detect if there are misbehaving or ev…
SoK: Beyond IoT MUD Deployments -- Challenges and Future Directions
Angelo Feraudo, Poonam Yadav, Richard Mortier +2
Due to the advancement of IoT devices in both domestic and industrial environments, the need to incorporate a mechanism to build accountability in the IoT ecosystem is paramount. I…
Benchmarking TinyML Systems: Challenges and Direction
Colby R. Banbury, Vijay Janapa Reddi, Max Lam +14
Recent advancements in ultra-low-power machine learning (TinyML) hardware promises to unlock an entirely new class of smart applications. However, continued progress is limited by…