43 citations · 79 across the 13 of their papers we have counts for
4 papers · 1 filter
EPS: Distinguishable IQ Data Representation for Domain-Adaptation Learning of Device Fingerprints
Abdurrahman Elmaghbub, Bechir Hamdaoui
Deep learning (DL)-based RF fingerprinting (RFFP) technology has emerged as a powerful physical-layer security mechanism, enabling device identification and authentication based on…
On the Impact of the Hardware Warm-Up Time on Deep Learning-Based RF Fingerprinting
Abdurrahman Elmaghbub, Vincent Immler, Bechir Hamdaoui
Deep learning-based RF fingerprinting offers great potential for improving the security robustness of various emerging wireless networks. Although much progress has been done in en…
HiNoVa: A Novel Open-Set Detection Method for Automating RF Device Authentication
Luke Puppo, Weng-Keen Wong, Bechir Hamdaoui +1
New capabilities in wireless network security have been enabled by deep learning, which leverages patterns in radio frequency (RF) data to identify and authenticate devices. Open-s…
ADL-ID: Adversarial Disentanglement Learning for Wireless Device Fingerprinting Temporal Domain Adaptation
Abdurrahman Elmaghbub, Bechir Hamdaoui, Weng-Keen Wong
As the journey of 5G standardization is coming to an end, academia and industry have already begun to consider the sixth-generation (6G) wireless networks, with an aim to meet the…