43 citations · 79 across the 13 of their papers we have counts for
13 papers
HEEDFUL: Leveraging Sequential Transfer Learning for Robust WiFi Device Fingerprinting Amid Hardware Warm-Up Effects
Abdurrahman Elmaghbub, Bechir Hamdaoui
Deep Learning-based RF fingerprinting approaches struggle to perform well in cross-domain scenarios, particularly during hardware warm-up. This often-overlooked vulnerability has b…
Domain-Agnostic Hardware Fingerprinting-Based Device Identifier for Zero-Trust IoT Security
Abdurrahman Elmaghbub, Bechir Hamdaoui
Next-generation networks aim for comprehensive connectivity, interconnecting humans, machines, devices, and systems seamlessly. This interconnectivity raises concerns about privacy…
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…
Uncovering the Portability Limitation of Deep Learning-Based Wireless Device Fingerprints
Bechir Hamdaoui, Abdurrahman Elmaghbub
Recent device fingerprinting approaches rely on deep learning to extract device-specific features solely from raw RF signals to identify, classify and authenticate wireless devices…
ProSky: NEAT Meets NOMA-mmWave in the Sky of 6G
Ahmed Benfaid, Nadia Adem, Abdurrahman Elmaghbub
Rendering to their abilities to provide ubiquitous connectivity, flexibly and cost effectively, unmanned aerial vehicles (UAVs) have been getting more and more research attention.…
Deep-Learning-Based Device Fingerprinting for Increased LoRa-IoT Security: Sensitivity to Network Deployment Changes
Bechir Hamdaoui, Abdurrahman Elmaghbub
Deep-learning-based device fingerprinting has recently been recognized as a key enabler for automated network access authentication. Its robustness to impersonation attacks due to…
An Analysis of Complex-Valued CNNs for RF Data-Driven Wireless Device Classification
Jun Chen, Weng-Keen Wong, Bechir Hamdaoui +4
Recent deep neural network-based device classification studies show that complex-valued neural networks (CVNNs) yield higher classification accuracy than real-valued neural network…
Comprehensive RF Dataset Collection and Release: A Deep Learning-Based Device Fingerprinting Use Case
Abdurrahman Elmaghbub, Bechir Hamdaoui
Deep learning-based RF fingerprinting has recently been recognized as a potential solution for enabling newly emerging wireless network applications, such as spectrum access policy…
Deep Neural Network Feature Designs for RF Data-Driven Wireless Device Classification
Bechir Hamdaoui, Abdurrahman Elmaghbub, Seifeddine Mejri
Most prior works on deep learning-based wireless device classification using radio frequency (RF) data apply off-the-shelf deep neural network (DNN) models, which were matured main…
Leveraging Hardware-Impaired Out-of-Band Information Through Deep Neural Networks for Robust Wireless Device Classification
Abdurrahman Elmaghbub, Bechir Hamdaoui
Wireless device classification techniques play a key role in promoting emerging wireless applications such as allowing spectrum regulatory agencies to enforce their access policies…