A comprehensive survey on radio frequency (RF) fingerprinting: Traditional approaches, deep learning, and open challenges

A Jagannath, J Jagannath, PSPV Kumar - Computer Networks, 2022 - Elsevier
Fifth generation (5G) network and beyond envision massive Internet of Things (IoT) rollout to
support disruptive applications such as extended reality (XR), augmented/virtual reality …

Radio frequency fingerprint identification for device authentication in the internet of things

J Zhang, G Shen, W Saad… - IEEE Communications …, 2023 - ieeexplore.ieee.org
Device authentication of wireless devices at the physical layer could augment security
enforcement before fully decoding packets. At the upper layers of the stack, this is …

Towards scalable and channel-robust radio frequency fingerprint identification for LoRa

G Shen, J Zhang, A Marshall… - IEEE Transactions on …, 2022 - ieeexplore.ieee.org
Radio frequency fingerprint identification (RFFI) is a promising device authentication
technique based on transmitter hardware impairments. The device-specific hardware …

Radio frequency fingerprint identification for LoRa using deep learning

G Shen, J Zhang, A Marshall, L Peng… - IEEE Journal on …, 2021 - ieeexplore.ieee.org
Radio frequency fingerprint identification (RFFI) is an emerging device authentication
technique that relies on the intrinsic hardware characteristics of wireless devices. This paper …

Radio frequency fingerprint identification for narrowband systems, modelling and classification

J Zhang, R Woods, M Sandell… - IEEE Transactions …, 2021 - ieeexplore.ieee.org
Device authentication is essential for securing Internet of things. Radio frequency fingerprint
identification (RFFI) is an emerging technique that exploits intrinsic and unique hardware …

Radio frequency fingerprint identification for LoRa using spectrogram and CNN

G Shen, J Zhang, A Marshall, L Peng… - IEEE INFOCOM 2021 …, 2021 - ieeexplore.ieee.org
Radio frequency fingerprint identification (RFFI) is an emerging device authentication
technique that relies on intrin-sic hardware characteristics of wireless devices. We designed …

LoRa device fingerprinting in the wild: Disclosing RF data-driven fingerprint sensitivity to deployment variability

A Elmaghbub, B Hamdaoui - IEEE Access, 2021 - ieeexplore.ieee.org
Deep learning-based fingerprinting techniques have recently emerged as potential enablers
of various wireless applications. However, their resiliency to time, location, and/or …

RF impairment model-based IoT physical-layer identification for enhanced domain generalization

S Rajendran, Z Sun - IEEE Transactions on Information …, 2022 - ieeexplore.ieee.org
For small, inexpensive, and power-constrained IoT devices, Radiofrequency fingerprinting
(RF-fingerprinting) has emerged as a cost-effective security solution. Robustness and …

RF fingerprinting unmanned aerial vehicles with non-standard transmitter waveforms

N Soltani, G Reus-Muns, B Salehi, J Dy… - IEEE transactions on …, 2020 - ieeexplore.ieee.org
The universal availability of unmanned aerial vehicles (UAVs) has resulted in many
applications where the same make/model can be deployed by multiple parties. Thus …

DeepLoRa: Fingerprinting LoRa devices at scale through deep learning and data augmentation

A Al-Shawabka, P Pietraski, SB Pattar… - Proceedings of the …, 2021 - dl.acm.org
The Long Range (LoRa) protocol for low-power wide-area networks (LPWANs) is a strong
candidate to enable the massive roll-out of the Internet of Things (IoT) because of its low …