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 …

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 …

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 …

Enhanced RF fingerprinting for IoT devices with recurrent neural networks

K Merchant, B Nousain - MILCOM 2019-2019 IEEE Military …, 2019 - ieeexplore.ieee.org
As the Internet of Things (IoT) continues to expand, there is a growing necessity for improved
techniques to authenticate the identity of wireless transmitters. In this paper, we develop a …

DSLN: Securing Internet of Things through RF fingerprint recognition in low-SNR settings

W Wu, S Hu, D Lin, Z Liu - IEEE Internet of Things Journal, 2021 - ieeexplore.ieee.org
The explosive growth of Internet of Things (IoT) has mandated the security of data access.
Although authentication methods can enhance network security, their vulnerability to …

Radio frequency fingerprint identification for security in low-cost IoT devices

G Shen, J Zhang, A Marshall… - 2021 55th Asilomar …, 2021 - ieeexplore.ieee.org
Radio frequency fingerprint identification (RFFI) can uniquely classify wireless devices by
analyzing the received signal distortions caused by the intrinsic hardware impairments. The …

A generalizable model-and-data driven approach for open-set RFF authentication

R Xie, W Xu, Y Chen, J Yu, A Hu… - IEEE Transactions …, 2021 - ieeexplore.ieee.org
Radio-frequency fingerprints (RFFs) are promising solutions for realizing low-cost physical
layer authentication. Machine learning-based methods have been proposed for RFF …

Convolution based feature extraction for edge computing access authentication

F Xie, H Wen, J Wu, S Chen, W Hou… - IEEE Transactions on …, 2019 - ieeexplore.ieee.org
In this article, a convolutional neural network (CNN) enhanced radio frequency fingerprinting
(RFF) authentication scheme is presented for Internet of things (IoT). RFF is a non …

DeepRadioID: Real-time channel-resilient optimization of deep learning-based radio fingerprinting algorithms

F Restuccia, S D'Oro, A Al-Shawabka… - Proceedings of the …, 2019 - dl.acm.org
Radio fingerprinting provides a reliable and energy-efficient IoT authentication strategy by
leveraging the unique hardware-level imperfections imposed on the received wireless …

Radio frequency fingerprint-based intelligent mobile edge computing for internet of things authentication

S Chen, H Wen, J Wu, A Xu, Y Jiang, H Song, Y Chen - Sensors, 2019 - mdpi.com
In this paper, a light-weight radio frequency fingerprinting identification (RFFID) scheme that
combines with a two-layer model is proposed to realize authentications for a large number of …