| LoRa device fingerprinting in the wild: Disclosing RF data-driven fingerprint sensitivity to deployment variability A Elmaghbub, B Hamdaoui IEEE Access 9, 142893-142909, 2021 | 55 | 2021 |
| WideScan: Exploiting Out-of-Band Distortion for Device Classification Using Deep Learning A Elmaghbub, B Hamdaoui, A Natarajan 2020 IEEE Global Communications Conference (GLOBECOM), 1-6, 2020 | 20 | 2020 |
| Comprehensive RF dataset collection and release: A deep learning-based device fingerprinting use case A Elmaghbub, B Hamdaoui 2021 IEEE Globecom Workshops (GC Wkshps), 1-7, 2021 | 18 | 2021 |
| Deep-learning-based device fingerprinting for increased LoRa-IoT security: Sensitivity to network deployment changes B Hamdaoui, A Elmaghbub IEEE network 36 (3), 204-210, 2022 | 16 | 2022 |
| Deep Neural Network Feature Designs for RF Data-Driven Wireless Device Classification B Hamdaoui, A Elmaghbub, S Mejri IEEE Network, 1-7, 2020 | 14 | 2020 |
| Leveraging Hardware-Impaired Out-of-Band Information Through Deep Neural Networks for Robust Wireless Device Classification A Elmaghbub, B Hamdaoui https://arxiv.org/pdf/2004.11126.pdf, 2020 | 13 | 2020 |
| Wireless device classification apparatus and method A Elmaghbub, B Hamdaoui US Patent 11,943,003, 2024 | 8 | 2024 |
| Distributed wideband sensing for faded dynamic spectrum access with changing occupancy B Khalfi, A Elmaghbub, B Hamdaoui 2018 IEEE Global Communications Conference (GLOBECOM), 1-6, 2018 | 8 | 2018 |
| Uncovering the portability limitation of deep learning-based wireless device fingerprints B Hamdaoui, A Elmaghbub 1st Abu Dhabi 6G Summit 2022, 2022 | 7 | 2022 |
| An analysis of complex-valued CNNs for RF data-driven wireless device classification J Chen, WK Wong, B Hamdaoui, A Elmaghbub, K Sivanesan, R Dorrance, ... ICC 2022-IEEE International Conference on Communications, 4318-4323, 2022 | 6 | 2022 |
| EPS: distinguishable IQ data representation for domain-adaptation learning of device fingerprints A Elmaghbub, B Hamdaoui arXiv preprint arXiv:2308.04467, 2023 | 5 | 2023 |
| ADL-ID: Adversarial Disentanglement Learning for Wireless Device Fingerprinting Temporal Domain Adaptation A Elmaghbub, B Hamdaoui, WK Wong ICC 2023 - IEEE International Conference on Communications, 2023 | 4 | 2023 |
| HiNoVa: A Novel Open-Set Detection Method for Automating RF Device Authentication L Puppo, WK Wong, B Hamdaoui, A Elmaghbub 2023 IEEE Symposium on Computers and Communications (ISCC), 2023 | 3 | 2023 |
| Scalable spectrum database construction mechanisms for efficient wideband spectrum access management B Khalfi, B Hamdaoui, M Guizani, A Elmaghbub Physical Communication 46, 101318, 2021 | 3 | 2021 |
| On the impact of the hardware warm-up time on deep learning-based RF fingerprinting A Elmaghbub, B Hamdaoui arXiv preprint arXiv:2308.00156, 2023 | 2 | 2023 |
| ProSky: NEAT Meets NOMA-mmWave in the Sky of 6G A Benfaid, N Adem, A Elmaghbub 2022 IEEE Globecom Workshops (GC Wkshps), 1353-1358, 2022 | 2 | 2022 |
| A needle in a haystack: Distinguishable deep neural network features for domain-agnostic device fingerprinting A Elmaghbub, B Hamdaoui 2023 IEEE Conference on Communications and Network Security (CNS), 1-9, 2023 | 1 | 2023 |
| Deep learning model portability for domain-agnostic device fingerprinting J Gaskin, A Elmaghbub, B Hamdaoui, WK Wong IEEE Access, 2023 | 1 | 2023 |
| Domain-Agnostic Hardware Fingerprinting-Based Device Identifier for Zero-Trust IoT Security A Elmaghbub, B Hamdaoui IEEE Wireless Communications Magazine, 2024 | | 2024 |
| Release Note: WiFi RF Datasets for Device Fingerprinting Using Deep Learning A Elmaghbub, B Hamdaoui | | 2023 |
Bechir HamdaouiProfessor in Computer Science and Engineering, Oregon State Universityeecs.oregonstate.edu üzerinde doğrulanmış e-posta adresine sahip
