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Found 3 papers, 1 papers with code
DeepCRF: Deep Learning-Enhanced CSI-Based RF Fingerprinting for Channel-Resilient WiFi Device Identification
This paper presents DeepCRF, a new framework that harnesses deep learning to extract subtle micro-signals from channel state information (CSI) measurements, enabling robust and resilient radio-frequency fingerprinting (RFF) of commercial-off-the-shelf (COTS) WiFi devices across diverse channel conditions.
Towards Channel-Resilient CSI-Based RF Fingerprinting using Deep Learning
The construction of a framework that is resilient to channel variability is essential for the practical deployment of CSI-RFF techniques.
Physical-Layer Authentication of Commodity Wi-Fi Devices via Micro-Signals on CSI Curves
This paper presents a new radiometric fingerprint that is revealed by micro-signals in the channel state information (CSI) curves extracted from commodity Wi-Fi devices.
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