4 papers · 1 filter
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…
Unsupervised Contrastive Learning for Robust RF Device Fingerprinting Under Time-Domain Shift
Jun Chen, Weng-Keen Wong, Bechir Hamdaoui
Radio Frequency (RF) device fingerprinting has been recognized as a potential technology for enabling automated wireless device identification and classification. However, it faces…
On the Domain Generalizability of RF Fingerprints Through Multifractal Dimension Representation
Benjamin Johnson, Bechir Hamdaoui
RF data-driven device fingerprinting through the use of deep learning has recently surfaced as a possible method for enabling secure device identification and authentication. Tradi…
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…