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

no code implementations • 13 Jun 2023 • Bechir Hamdaoui, Nora Basha, Kathiravetpillai Sivanesan

Deep learning-enabled device fingerprinting has proven efficient in enabling automated identification and authentication of transmitting devices.

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

no code implementations • 8 Sep 2021 • Nora Basha, Bechir Hamdaoui

We also show that for Rayleigh channels, blind channel estimation enabled by MIMO increases the testing accuracy by up to $40\%$ when the models are trained and tested over the same channel, and by up to $60\%$ when the models are tested on a channel that is different from that used for training.