Abdurrahman Elmaghbub

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

2022 · arXiv (Cornell University)

Recent device fingerprinting approaches rely on deep learning to extract device-specific features solely from raw RF signals to identify, classify and authenticate wireless devices. One widely known issue lies in the inability of these approaches …

On the extraction of RF fingerprints from LSTM hidden-state values for robust open-set detection

2024 · ITU Journal on Future and Evolving Technologies

New capabilities in wireless network security have been enabled by deep learning that leverages and exploits signal patterns and characteristics in Radio Frequency (RF) data captured by radio receivers to identify and authenticate radio transmitters. …