Distributed Wideband Sensing for Faded Dynamic Spectrum Access with Changing Occupancy. - Bassem Khalfi; Abdurrahman Elmaghbub; Bechir Hamdaoui (GLOBECOM, 2018)

WideScan: Exploiting Out-of-Band Distortion for Device Classification Using Deep Learning. - Abdurrahman Elmaghbub; Bechir Hamdaoui; Arun Natarajan 001 (GLOBECOM, 2020)

Comprehensive RF Dataset Collection and Release: A Deep Learning-Based Device Fingerprinting Use Case. - Abdurrahman Elmaghbub; Bechir Hamdaoui (GLOBECOM (Workshops), 2021)

LoRa Device Fingerprinting in the Wild: Disclosing RF Data-Driven Fingerprint Sensitivity to Deployment Variability. - Abdurrahman Elmaghbub; Bechir Hamdaoui (IEEE Access, 2021)

Deep Neural Network Feature Designs for RF Data-Driven Wireless Device Classification. - Bechir Hamdaoui; Abdurrahman Elmaghbub; Seifeddine Mejri (IEEE Netw., 2021)

Scalable spectrum database construction mechanisms for efficient wideband spectrum access management. - Bassem Khalfi; Bechir Hamdaoui; Mohsen Guizani; Abdurrahman Elmaghbub (Phys. Commun., 2021)

ProSky: NEAT Meets NOMA-mmWave in the Sky of 6G. - Ahmed Benfaid; Nadia Adem; Abdurrahman Elmaghbub (GLOBECOM (Workshops), 2022)

An Analysis of Complex-Valued CNNs for RF Data-Driven Wireless Device Classification. - Jun Chen; Weng-Keen Wong; Bechir Hamdaoui; Abdurrahman Elmaghbub; Kathiravetpillai Sivanesan; Richard Dorrance; Lily L. Yang (ICC, 2022)

Uncovering the Portability Limitation of Deep Learning-Based Wireless Device Fingerprints. - Bechir Hamdaoui; Abdurrahman Elmaghbub (CoRR, 2022)

Deep-Learning-Based Device Fingerprinting for Increased LoRa-IoT Security: Sensitivity to Network Deployment Changes. - Bechir Hamdaoui; Abdurrahman Elmaghbub (IEEE Netw., 2022)

A Needle in a Haystack: Distinguishable Deep Neural Network Features for Domain-Agnostic Device Fingerprinting. - Abdurrahman Elmaghbub; Bechir Hamdaoui (CNS, 2023)

ADL-ID: Adversarial Disentanglement Learning for Wireless Device Fingerprinting Temporal Domain Adaptation. - Abdurrahman Elmaghbub; Bechir Hamdaoui; Weng-Keen Wong (ICC, 2023)

HiNoVa: A Novel Open-Set Detection Method for Automating RF Device Authentication. - Luke Puppo; Weng-Keen Wong; Bechir Hamdaoui; Abdurrahman Elmaghbub (ISCC, 2023)

Deep Learning Model Portability for Domain-Agnostic Device Fingerprinting. - Jared Gaskin; Abdurrahman Elmaghbub; Bechir Hamdaoui; Weng-Keen Wong (IEEE Access, 2023)

On the Impact of the Hardware Warm-Up Time on Deep Learning-Based RF Fingerprinting. - Abdurrahman Elmaghbub; Bechir Hamdaoui (CoRR, 2023)

EPS: Distinguishable IQ Data Representation for Domain-Adaptation Learning of Device Fingerprints. - Abdurrahman Elmaghbub; Bechir Hamdaoui (CoRR, 2023)

No Blind Spots: On the Resiliency of Device Fingerprints to Hardware Warm-Up Through Sequential Transfer Learning. - Abdurrahman Elmaghbub; Bechir Hamdaoui (WISEC, 2024)

Domain-Agnostic Hardware Fingerprinting-Based Device Identifier for Zero-Trust IoT Security. - Abdurrahman Elmaghbub; Bechir Hamdaoui (IEEE Wirel. Commun., 2024)