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ORCIDAbdurrahman Elmaghbub
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2020 – today
- 2024
[j6]Abdurrahman Elmaghbub, Bechir Hamdaoui:
Domain-Agnostic Hardware Fingerprinting-Based Device Identifier for Zero-Trust IoT Security. IEEE Wirel. Commun. 31(2): 42-48 (2024)- [c9]Abdurrahman Elmaghbub
, Bechir Hamdaoui:
No Blind Spots: On the Resiliency of Device Fingerprints to Hardware Warm-Up Through Sequential Transfer Learning. WISEC 2024: 134-144 - [i11]Abdurrahman Elmaghbub, Bechir Hamdaoui:
Domain-Agnostic Hardware Fingerprinting-Based Device Identifier for Zero-Trust IoT Security. CoRR abs/2402.05332 (2024) - 2023
- [j5]Jared Gaskin, Abdurrahman Elmaghbub, Bechir Hamdaoui, Weng-Keen Wong:
Deep Learning Model Portability for Domain-Agnostic Device Fingerprinting. IEEE Access 11: 86801-86823 (2023) - [c8]Abdurrahman Elmaghbub, Bechir Hamdaoui:
A Needle in a Haystack: Distinguishable Deep Neural Network Features for Domain-Agnostic Device Fingerprinting. CNS 2023: 1-9 - [c7]Abdurrahman Elmaghbub, Bechir Hamdaoui, Weng-Keen Wong:
ADL-ID: Adversarial Disentanglement Learning for Wireless Device Fingerprinting Temporal Domain Adaptation. ICC 2023: 6199-6204 - [c6]Luke Puppo, Weng-Keen Wong, Bechir Hamdaoui, Abdurrahman Elmaghbub:
HiNoVa: A Novel Open-Set Detection Method for Automating RF Device Authentication. ISCC 2023: 1122-1128 - [i10]Abdurrahman Elmaghbub, Bechir Hamdaoui, Weng-Keen Wong:
ADL-ID: Adversarial Disentanglement Learning for Wireless Device Fingerprinting Temporal Domain Adaptation. CoRR abs/2301.12360 (2023) - [i9]Luke Puppo, Weng-Keen Wong, Bechir Hamdaoui, Abdurrahman Elmaghbub:
HiNoVa: A Novel Open-Set Detection Method for Automating RF Device Authentication. CoRR abs/2305.09594 (2023) - [i8]Abdurrahman Elmaghbub, Bechir Hamdaoui:
On the Impact of the Hardware Warm-Up Time on Deep Learning-Based RF Fingerprinting. CoRR abs/2308.00156 (2023) - [i7]Abdurrahman Elmaghbub, Bechir Hamdaoui:
EPS: Distinguishable IQ Data Representation for Domain-Adaptation Learning of Device Fingerprints. CoRR abs/2308.04467 (2023) - 2022
- [j4]Bechir Hamdaoui, Abdurrahman Elmaghbub:
Deep-Learning-Based Device Fingerprinting for Increased LoRa-IoT Security: Sensitivity to Network Deployment Changes. IEEE Netw. 36(3): 204-210 (2022) - [c5]Ahmed Benfaid, Nadia Adem, Abdurrahman Elmaghbub:
ProSky: NEAT Meets NOMA-mmWave in the Sky of 6G. GLOBECOM (Workshops) 2022: 1353-1358 - [c4]Jun Chen, Weng-Keen Wong, Bechir Hamdaoui, Abdurrahman Elmaghbub, Kathiravetpillai Sivanesan, Richard Dorrance, Lily L. Yang:
An Analysis of Complex-Valued CNNs for RF Data-Driven Wireless Device Classification. ICC 2022: 4318-4323 - [i6]Abdurrahman Elmaghbub, Bechir Hamdaoui:
Comprehensive RF Dataset Collection and Release: A Deep Learning-Based Device Fingerprinting Use Case. CoRR abs/2201.02213 (2022) - [i5]Jun Chen, Weng-Keen Wong, Bechir Hamdaoui, Abdurrahman Elmaghbub, Kathiravetpillai Sivanesan, Richard Dorrance, Lily L. Yang:
An Analysis of Complex-Valued CNNs for RF Data-Driven Wireless Device Classification. CoRR abs/2202.09777 (2022) - [i4]Bechir Hamdaoui, Abdurrahman Elmaghbub:
Deep-Learning-Based Device Fingerprinting for Increased LoRa-IoT Security: Sensitivity to Network Deployment Changes. CoRR abs/2208.14964 (2022) - [i3]Ahmed Benfaid, Nadia Adem, Abdurrahman Elmaghbub:
ProSky: NEAT Meets NOMA-mmWave in the Sky of 6G. CoRR abs/2210.11406 (2022) - [i2]Bechir Hamdaoui, Abdurrahman Elmaghbub:
Uncovering the Portability Limitation of Deep Learning-Based Wireless Device Fingerprints. CoRR abs/2211.07687 (2022) - 2021
- [j3]Abdurrahman Elmaghbub, Bechir Hamdaoui:
LoRa Device Fingerprinting in the Wild: Disclosing RF Data-Driven Fingerprint Sensitivity to Deployment Variability. IEEE Access 9: 142893-142909 (2021) - [j2]Bechir Hamdaoui, Abdurrahman Elmaghbub, Seifeddine Mejri:
Deep Neural Network Feature Designs for RF Data-Driven Wireless Device Classification. IEEE Netw. 35(3): 191-197 (2021) - [j1]Bassem Khalfi, Bechir Hamdaoui, Mohsen Guizani, Abdurrahman Elmaghbub:
Scalable spectrum database construction mechanisms for efficient wideband spectrum access management. Phys. Commun. 46: 101318 (2021) - [c3]Abdurrahman Elmaghbub, Bechir Hamdaoui:
Comprehensive RF Dataset Collection and Release: A Deep Learning-Based Device Fingerprinting Use Case. GLOBECOM (Workshops) 2021: 1-7 - [i1]Bechir Hamdaoui, Abdurrahman Elmaghbub, Seifeddine Mejri:
Deep Neural Network Feature Designs for RF Data-Driven Wireless Device Classification. CoRR abs/2105.02755 (2021) - 2020
- [c2]Abdurrahman Elmaghbub, Bechir Hamdaoui, Arun Natarajan:
WideScan: Exploiting Out-of-Band Distortion for Device Classification Using Deep Learning. GLOBECOM 2020: 1-6
2010 – 2019
- 2018
- [c1]Bassem Khalfi, Abdurrahman Elmaghbub, Bechir Hamdaoui:
Distributed Wideband Sensing for Faded Dynamic Spectrum Access with Changing Occupancy. GLOBECOM 2018: 1-6
Coauthor Index
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