56 citations · 483 across the 53 of their papers we have counts for
4 papers · 2 filters
Domain-Adaptive Device Fingerprints for Network Access Authentication Through Multifractal Dimension Representation
Benjamin Johnson, Bechir Hamdaoui
RF data-driven device fingerprinting through the use of deep learning has recently surfaced as a potential solution for automated network access authentication. Traditional approac…
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…