Towards scalable and channel-robust radio frequency fingerprint identification for LoRa
Radio frequency fingerprint identification (RFFI) is a promising device authentication
technique based on transmitter hardware impairments. The device-specific hardware …
technique based on transmitter hardware impairments. The device-specific hardware …
Radio frequency fingerprint identification for LoRa using spectrogram and CNN
Radio frequency fingerprint identification (RFFI) is an emerging device authentication
technique that relies on intrin-sic hardware characteristics of wireless devices. We designed …
technique that relies on intrin-sic hardware characteristics of wireless devices. We designed …
Radio frequency fingerprint identification for LoRa using deep learning
Radio frequency fingerprint identification (RFFI) is an emerging device authentication
technique that relies on the intrinsic hardware characteristics of wireless devices. This paper …
technique that relies on the intrinsic hardware characteristics of wireless devices. This paper …
Toward length-versatile and noise-robust radio frequency fingerprint identification
Radio frequency fingerprint identification (RFFI) can classify wireless devices by analyzing
the signal distortions caused by intrinsic hardware impairments. Recently, state-of-the-art …
the signal distortions caused by intrinsic hardware impairments. Recently, state-of-the-art …
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 …
of various wireless applications. However, their resiliency to time, location, and/or …
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 …
candidate to enable the massive roll-out of the Internet of Things (IoT) because of its low …
A generalizable model-and-data driven approach for open-set RFF authentication
Radio-frequency fingerprints (RFFs) are promising solutions for realizing low-cost physical
layer authentication. Machine learning-based methods have been proposed for RFF …
layer authentication. Machine learning-based methods have been proposed for RFF …
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 …
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 …
Radio frequency fingerprint identification for device authentication in the internet of things
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 …
enforcement before fully decoding packets. At the upper layers of the stack, this is …