most citedLeveraging Multiple Transmissions and Receptions for Channel-Agnostic Deep Learning-Based Network Device Classification

1 citations · 1 across the 2 of their papers we have counts for

collaborators

2 papers

eess.SP2023

Deep Learning-Enabled Zero-Touch Device Identification: Mitigating the Impact of Channel Variability Through MIMO Diversity

Bechir Hamdaoui, Nora Basha, Kathiravetpillai Sivanesan

Deep learning-enabled device fingerprinting has proven efficient in enabling automated identification and authentication of transmitting devices. It does so by leveraging the trans…

eess.SP2021★ 1 cited

Leveraging Multiple Transmissions and Receptions for Channel-Agnostic Deep Learning-Based Network Device Classification

Nora Basha, Bechir Hamdaoui

The accurate identification of wireless devices is critical for enabling automated network access monitoring and authenticated data communication in large-scale networks; e.g., IoT…