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 …

Exposing the fingerprint: Dissecting the impact of the wireless channel on radio fingerprinting

A Al-Shawabka, F Restuccia, S D'Oro… - … -IEEE Conference on …, 2020 - ieeexplore.ieee.org
Radio fingerprinting uniquely identifies wireless devices by leveraging tiny hardware-level
imperfections inevitably present in off-the-shelf radio circuitry. This way, devices can be …

No Radio Left Behind: Radio Fingerprinting Through Deep Learning of Physical-Layer Hardware Impairments

K Sankhe, M Belgiovine, F Zhou… - IEEE Transactions …, 2019 - ieeexplore.ieee.org
Due to the unprecedented scale of the Internet of Things, designing scalable, accurate,
energy-efficient and tamper-proof authentication mechanisms has now become more …

More is better: Data augmentation for channel-resilient RF fingerprinting

N Soltani, K Sankhe, J Dy, S Ioannidis… - IEEE …, 2020 - ieeexplore.ieee.org
RF fingerprinting involves identifying characteristic transmitter-imposed variations within a
wireless signal. Deep neural networks (DNNs) that do not rely on handcrafting features have …

Deep learning for RF fingerprinting: A massive experimental study

T Jian, BC Rendon, E Ojuba, N Soltani… - IEEE Internet of …, 2020 - ieeexplore.ieee.org
RF fingerprinting is a key security mechanism that allows device identification by learning
unchanging, hardware-based characteristics of the transmitter. In this article, we …

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 …

Finding a 'new'needle in the haystack: Unseen radio detection in large populations using deep learning

A Gritsenko, Z Wang, T Jian, J Dy… - 2019 IEEE …, 2019 - ieeexplore.ieee.org
Radio frequency fingerprinting enhances security and privacy of wireless networks and
communications by learning and extracting unique characteristics embedded in transmitted …

Wireless fingerprinting via deep learning: The impact of confounding factors

M Cekic, S Gopalakrishnan… - 2021 55th Asilomar …, 2021 - ieeexplore.ieee.org
Can we distinguish between two wireless transmitters sending exactly the same message,
using the same protocol? The opportunity for doing so arises due to subtle nonlinear …

Analysis of augmentation methods for RF fingerprinting under impaired channels

C Comert, M Kulhandjian, OM Gul, A Touazi… - Proceedings of the …, 2022 - dl.acm.org
Cyber-physical systems such as autonomous vehicle networks are considered to be critical
infrastructures in various applications. However, their mission critical deployment makes …

IoT devices fingerprinting using deep learning

H Jafari, O Omotere, D Adesina… - MILCOM 2018-2018 …, 2018 - ieeexplore.ieee.org
Radio Frequency (RF) fingerprinting as a physical layer authentication method could be
used to distinguish legitimate wireless devices from adversarial ones. In this paper, we …