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 …

Overcoming data limitations: A few-shot specific emitter identification method using self-supervised learning and adversarial augmentation

C Liu, X Fu, Y Wang, L Guo, Y Liu, Y Lin… - IEEE Transactions …, 2023 - ieeexplore.ieee.org
Specific emitter identification (SEI) based on radio frequency fingerprinting (RFF) is a
physical layer authentication method in the field of wireless network security. RFFs are …

An efficient specific emitter identification method based on complex-valued neural networks and network compression

Y Wang, G Gui, H Gacanin, T Ohtsuki… - IEEE Journal on …, 2021 - ieeexplore.ieee.org
Specific emitter identification (SEI) is a promising technology to discriminate the individual
emitter and enhance the security of various wireless communication systems. SEI is …

Few-shot specific emitter identification via deep metric ensemble learning

Y Wang, G Gui, Y Lin, HC Wu, C Yuen… - IEEE Internet of Things …, 2022 - ieeexplore.ieee.org
Specific emitter identification (SEI) is a highly potential technology for physical-layer
authentication that is one of the most critical supplements for the upper-layer authentication …

Few-shot specific emitter identification using asymmetric masked auto-encoder

Z Yao, X Fu, L Guo, Y Wang, Y Lin… - IEEE Communications …, 2023 - ieeexplore.ieee.org
Specific emitter identification (SEI) based on radio frequency fingerprint (RFF) characteristics
can be used to identify different transmitters, and the deep learning (DL)-based SEI methods …

Deep learning based RF fingerprint identification using differential constellation trace figure

L Peng, J Zhang, M Liu, A Hu - IEEE Transactions on Vehicular …, 2019 - ieeexplore.ieee.org
This paper proposes a novel deep learning-based radio frequency fingerprint (RFF)
identification method for internet of things (IoT) terminal authentications. Differential …

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 …

Semi-supervised specific emitter identification method using metric-adversarial training

X Fu, Y Peng, Y Liu, Y Lin, G Gui… - IEEE Internet of …, 2023 - ieeexplore.ieee.org
Specific emitter identification (SEI) plays an increasingly crucial and potential role in both
military and civilian scenarios. It refers to a process to discriminate individual emitters from …

Carrier frequency offset in internet of things radio frequency fingerprint identification: An experimental review

X Huan, Y Hao, K Miao, H He… - IEEE Internet of Things …, 2023 - ieeexplore.ieee.org
Radio frequency fingerprint (RFF) identification has become a promising security solution for
resource-constrained Internet of Things (IoT) devices, which relies on hardware impairments …

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 …