Abdurrahman Elmaghbub

According to our database, Abdurrahman Elmaghbub authored at least 18 papers between 2018 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2024

Domain-Agnostic Hardware Fingerprinting-Based Device Identifier for Zero-Trust IoT Security.

Abdurrahman Elmaghbub, Bechir Hamdaoui

IEEE Wirel. Commun., April, 2024

No Blind Spots: On the Resiliency of Device Fingerprints to Hardware Warm-Up Through Sequential Transfer Learning.

Abdurrahman Elmaghbub, Bechir Hamdaoui

Proceedings of the 17th ACM Conference on Security and Privacy in Wireless and Mobile Networks, 2024

2023

EPS: Distinguishable IQ Data Representation for Domain-Adaptation Learning of Device Fingerprints.

Abdurrahman Elmaghbub, Bechir Hamdaoui

CoRR, 2023

On the Impact of the Hardware Warm-Up Time on Deep Learning-Based RF Fingerprinting.

Abdurrahman Elmaghbub, Bechir Hamdaoui

CoRR, 2023

Deep Learning Model Portability for Domain-Agnostic Device Fingerprinting.

Jared Gaskin, Abdurrahman Elmaghbub, Bechir Hamdaoui, Weng-Keen Wong

IEEE Access, 2023

HiNoVa: A Novel Open-Set Detection Method for Automating RF Device Authentication.

Luke Puppo, Weng-Keen Wong, Bechir Hamdaoui, Abdurrahman Elmaghbub

Proceedings of the IEEE Symposium on Computers and Communications, 2023

ADL-ID: Adversarial Disentanglement Learning for Wireless Device Fingerprinting Temporal Domain Adaptation.

Abdurrahman Elmaghbub, Bechir Hamdaoui, Weng-Keen Wong

Proceedings of the IEEE International Conference on Communications, 2023

A Needle in a Haystack: Distinguishable Deep Neural Network Features for Domain-Agnostic Device Fingerprinting.

Abdurrahman Elmaghbub, Bechir Hamdaoui

Proceedings of the IEEE Conference on Communications and Network Security, 2023

2022

Deep-Learning-Based Device Fingerprinting for Increased LoRa-IoT Security: Sensitivity to Network Deployment Changes.

Bechir Hamdaoui, Abdurrahman Elmaghbub

IEEE Netw., 2022

Uncovering the Portability Limitation of Deep Learning-Based Wireless Device Fingerprints.

Bechir Hamdaoui, Abdurrahman Elmaghbub

CoRR, 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

Proceedings of the IEEE International Conference on Communications, 2022

ProSky: NEAT Meets NOMA-mmWave in the Sky of 6G.

Ahmed Benfaid, Nadia Adem, Abdurrahman Elmaghbub

Proceedings of the IEEE Globecom 2022 Workshops, 2022

2021

Scalable spectrum database construction mechanisms for efficient wideband spectrum access management.

Bassem Khalfi, Bechir Hamdaoui, Mohsen Guizani, Abdurrahman Elmaghbub

Phys. Commun., 2021

Deep Neural Network Feature Designs for RF Data-Driven Wireless Device Classification.

Bechir Hamdaoui, Abdurrahman Elmaghbub, Seifeddine Mejri

IEEE Netw., 2021

LoRa Device Fingerprinting in the Wild: Disclosing RF Data-Driven Fingerprint Sensitivity to Deployment Variability.

Abdurrahman Elmaghbub, Bechir Hamdaoui

IEEE Access, 2021

Comprehensive RF Dataset Collection and Release: A Deep Learning-Based Device Fingerprinting Use Case.

Abdurrahman Elmaghbub, Bechir Hamdaoui

Proceedings of the IEEE Globecom 2021 Workshops, Madrid, Spain, December 7-11, 2021, 2021

2020

WideScan: Exploiting Out-of-Band Distortion for Device Classification Using Deep Learning.

Abdurrahman Elmaghbub, Bechir Hamdaoui, Arun Natarajan

Proceedings of the IEEE Global Communications Conference, 2020

2018

Distributed Wideband Sensing for Faded Dynamic Spectrum Access with Changing Occupancy.

Bassem Khalfi, Abdurrahman Elmaghbub, Bechir Hamdaoui

Proceedings of the IEEE Global Communications Conference, 2018