A comprehensive survey on radio frequency (RF) fingerprinting: Traditional approaches, deep learning, and open challenges

A Jagannath, J Jagannath, PSPV Kumar - Computer Networks, 2022 - Elsevier
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 …

Towards scalable and channel-robust radio frequency fingerprint identification for LoRa

G Shen, J Zhang, A Marshall… - IEEE Transactions on …, 2022 - ieeexplore.ieee.org
Radio frequency fingerprint identification (RFFI) is a promising device authentication
technique based on transmitter hardware impairments. The device-specific hardware …

Machine learning for the detection and identification of Internet of Things devices: A survey

Y Liu, J Wang, J Li, S Niu… - IEEE Internet of Things …, 2021 - ieeexplore.ieee.org
The Internet of Things (IoT) is becoming an indispensable part of everyday life, enabling a
variety of emerging services and applications. However, the presence of rogue IoT devices …

Radio frequency fingerprint identification for narrowband systems, modelling and classification

J Zhang, R Woods, M Sandell… - IEEE Transactions …, 2021 - ieeexplore.ieee.org
Device authentication is essential for securing Internet of things. Radio frequency fingerprint
identification (RFFI) is an emerging technique that exploits intrinsic and unique hardware …

Radio frequency fingerprint identification for Internet of Things: A survey

L Xie, L Peng, J Zhang, A Hu - Security and Safety, 2024 - sands.edpsciences.org
Radio frequency fingerprint (RFF) identification is a promising technique for identifying
Internet of Things (IoT) devices. This paper presents a comprehensive survey on RFF …

RF fingerprinting unmanned aerial vehicles with non-standard transmitter waveforms

N Soltani, G Reus-Muns, B Salehi, J Dy… - IEEE transactions on …, 2020 - ieeexplore.ieee.org
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 …

Wisig: A large-scale wifi signal dataset for receiver and channel agnostic rf fingerprinting

S Hanna, S Karunaratne, D Cabric - IEEE Access, 2022 - ieeexplore.ieee.org
RF fingerprinting leverages circuit-level variability of transmitters to identify them using
signals they send. Signals used for identification are impacted by a wireless channel and …

Secure industrial iot systems via rf fingerprinting under impaired channels with interference and noise

OM Gul, M Kulhandjian, B Kantarci, A Touazi… - IEEE …, 2023 - ieeexplore.ieee.org
Industrial IoT-enabled critical infrastructures are susceptible to cyber attacks due to their
mission-critical deployment. To ensure security by design, radio frequency (RF)-based …

Toward length-versatile and noise-robust radio frequency fingerprint identification

G Shen, J Zhang, A Marshall… - IEEE Transactions …, 2023 - ieeexplore.ieee.org
Radio frequency fingerprint identification (RFFI) can classify wireless devices by analyzing
the signal distortions caused by intrinsic hardware impairments. Recently, state-of-the-art …

Radio frequency fingerprinting on the edge

T Jian, Y Gong, Z Zhan, R Shi, N Soltani… - IEEE Transactions …, 2021 - ieeexplore.ieee.org
Deep learning methods have been very successful at radio frequency fingerprinting tasks,
predicting the identity of transmitting devices with high accuracy. We study radio frequency …