activity
20152022
most citedThe Case for Retraining of ML Models for IoT Device Identification at the Edge

17 citations · 34 across the 8 of their papers we have counts for

collaborators

12 papers

cs.NI2022

Resilient Edge: Can we achieve Network Resiliency at the IoT Edge using LPWAN and WiFi?

Vijay Kumar, Poonam Yadav, Leandro Soares Indrusiak

Edge computing has gained attention in recent years due to the adoption of many Internet of Things (IoT) applications in domestic, industrial and wild settings. The resiliency and…

cs.CR2021

Revisiting IoT Device Identification

Roman Kolcun, Diana Andreea Popescu, Vadim Safronov +4

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 ide…

cs.NI202017 cited

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…

cs.NI2020

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…

cs.NI20206 cited

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…

cs.PF2020

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…