A comprehensive survey on radio frequency (RF) fingerprinting: Traditional approaches, deep learning, and open challenges
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 …
support disruptive applications such as extended reality (XR), augmented/virtual reality …
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 …
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 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 …
Radio frequency fingerprint identification for narrowband systems, modelling and classification
Device authentication is essential for securing Internet of things. Radio frequency fingerprint
identification (RFFI) is an emerging technique that exploits intrinsic and unique hardware …
identification (RFFI) is an emerging technique that exploits intrinsic and unique 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 …
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 …
RF impairment model-based IoT physical-layer identification for enhanced domain generalization
For small, inexpensive, and power-constrained IoT devices, Radiofrequency fingerprinting
(RF-fingerprinting) has emerged as a cost-effective security solution. Robustness and …
(RF-fingerprinting) has emerged as a cost-effective security solution. Robustness and …
RF fingerprinting unmanned aerial vehicles with non-standard transmitter waveforms
The universal availability of unmanned aerial vehicles (UAVs) has resulted in many
applications where the same make/model can be deployed by multiple parties. Thus …
applications where the same make/model can be deployed by multiple parties. Thus …
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 …