1 citations · 1 across the 4 of their papers we have counts for
5 papers
Dataset and Experimental Testbed for Deep Learning-Based Bluetooth Device Fingerprinting
Haytham Albousayri, Bechir Hamdaoui
AI-enabled wireless networks have emerged as vital components of future-generation wireless communication systems. Among various wireless architectures, Bluetooth Low Energy (BLE)…
Characterizing and Mitigating the Effects of Device Temperature on RF Fingerprinting Accuracy
Haytham Albousayri, Bechir Hamdaoui
Radio Frequency Fingerprinting (RFFP) has emerged as a promising approach for device authentication by exploiting hardware-specific impairments embedded in transmitted signals. Yet…
Replicating the Signature: Unsupervised Targeted Impersonation Attack on RF Fingerprinting
Haytham Albousayri, Bechir Hamdaoui
This paper presents a novel impersonation attack framework that aims to fool RF Fingerprinting (RFFP) identification systems by synthesizing signals that replicate the hardware-spe…
Bluetooth Fingerprint Identification Under Domain Shift Through Transient Phase Derivative
Haytham Albousayri, Bechir Hamdaoui, Weng-Keen Wong +1
Deep learning-based radio frequency fingerprinting (RFFP) has become an enabling physical-layer security technology, allowing device identification and authentication through recei…
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…