Radio frequency fingerprint identification based on slice integration cooperation and heat constellation trace figure

Y Peng, P Liu, Y Wang, G Gui… - IEEE Wireless …, 2021 - ieeexplore.ieee.org
Radio frequency fingerprint (RFF) identification is a popular topic in the field of physical layer
security. However, machine learning based RFF identification methods require complicated …

Deep learning based RF fingerprint identification with channel effects mitigation

H Fu, L Peng, M Liu, A Hu - IEEE Open Journal of the …, 2023 - ieeexplore.ieee.org
The radio frequency fingerprint (RFF)-based device identification is a promising physical
layer authentication technique. However, the wireless channel significantly affects the RFF …

Radio frequency fingerprint identification based on deep complex residual network

S Wang, H Jiang, X Fang, Y Ying, J Li, B Zhang - IEEE access, 2020 - ieeexplore.ieee.org
Radio frequency fingerprint identification is a non-password authentication method based
on the physical layer hardware of the communication device. Deep learning methods …

Supervised contrastive learning for RFF identification with limited samples

Y Peng, C Hou, Y Zhang, Y Lin, G Gui… - IEEE Internet of …, 2023 - ieeexplore.ieee.org
Radio-frequency fingerprint (RFF), which comes from the imperfect hardware, is a potential
feature to ensure the security of communication. With the development of deep learning …

Design of a robust RF fingerprint generation and classification scheme for practical device identification

X Zhou, A Hu, G Li, L Peng, Y Xing… - 2019 IEEE Conference …, 2019 - ieeexplore.ieee.org
Radio frequency (RF) fingerprint has gained wide attention as it takes advantages of
inherent characteristics in hardware for identification and verification. However, performance …

Radio-frequency fingerprint extraction based on feature inhomogeneity

L Sun, X Wang, Z Huang, B Li - IEEE Internet of Things Journal, 2022 - ieeexplore.ieee.org
With the popularization of the Internet of Things (IoT), its security has become increasingly
prominent. Radio-frequency fingerprinting (RFF) is a promising approach to identify a …

Robust RF fingerprint extraction based on cyclic shift characteristic

J Shi, L Peng, H Fu, A Hu - IEEE Internet of Things Journal, 2023 - ieeexplore.ieee.org
As a novel solution for identification of Internet of Things (IoT) devices, radio frequency
fingerprint (RFF) has excellent features, such as uniqueness, stability, and …

Radio frequency fingerprint identification with hybrid time-varying distortions

J He, S Huang, S Chang, F Wang… - IEEE Transactions on …, 2023 - ieeexplore.ieee.org
Radio frequency fingerprint identification (RFFI) is a promising physical layer security
technique that employs the hardware-introduced features extracted from the received …

Design of a channel robust radio frequency fingerprint identification scheme

Y Xing, A Hu, J Zhang, L Peng… - IEEE Internet of Things …, 2022 - ieeexplore.ieee.org
Radio frequency fingerprint (RFF) identification is an emerging device authentication
technique that exploits the hardware imperfections resulting from the manufacturing process …

A robust radio-frequency fingerprint extraction scheme for practical device recognition

X Zhou, A Hu, G Li, L Peng, Y Xing… - IEEE Internet of Things …, 2021 - ieeexplore.ieee.org
Radio-frequency fingerprinting (RFF) exploiting hardware characteristics has been
employed for device recognition to enhance the overall security. However, the performance …