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 …
security. However, machine learning based RFF identification methods require complicated …
Deep learning based RF fingerprint identification with channel effects mitigation
The radio frequency fingerprint (RFF)-based device identification is a promising physical
layer authentication technique. However, the wireless channel significantly affects the RFF …
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 …
on the physical layer hardware of the communication device. Deep learning methods …
Supervised contrastive learning for RFF identification with limited samples
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 …
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
Radio frequency (RF) fingerprint has gained wide attention as it takes advantages of
inherent characteristics in hardware for identification and verification. However, performance …
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 …
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 …
fingerprint (RFF) has excellent features, such as uniqueness, stability, and …
Radio frequency fingerprint identification with hybrid time-varying distortions
Radio frequency fingerprint identification (RFFI) is a promising physical layer security
technique that employs the hardware-introduced features extracted from the received …
technique that employs the hardware-introduced features extracted from the received …
Design of a channel robust radio frequency fingerprint identification scheme
Radio frequency fingerprint (RFF) identification is an emerging device authentication
technique that exploits the hardware imperfections resulting from the manufacturing process …
technique that exploits the hardware imperfections resulting from the manufacturing process …
A robust radio-frequency fingerprint extraction scheme for practical device recognition
Radio-frequency fingerprinting (RFF) exploiting hardware characteristics has been
employed for device recognition to enhance the overall security. However, the performance …
employed for device recognition to enhance the overall security. However, the performance …