A survey of physical layer techniques for secure wireless communications in industry

P Angueira, I Val, J Montalban, Ó Seijo… - … Surveys & Tutorials, 2022 - ieeexplore.ieee.org
The industrial environment poses strict requirements to the infrastructure of good and
service production and delivery. Communications are not an exception. Wired systems …

Radio frequency fingerprint identification for LoRa using deep learning

G Shen, J Zhang, A Marshall, L Peng… - IEEE Journal on …, 2021 - ieeexplore.ieee.org
Radio frequency fingerprint identification (RFFI) is an emerging device authentication
technique that relies on the intrinsic hardware characteristics of wireless devices. This paper …

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 …

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 …

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 …

Radio frequency fingerprint identification for LoRa using spectrogram and CNN

G Shen, J Zhang, A Marshall, L Peng… - IEEE INFOCOM 2021 …, 2021 - ieeexplore.ieee.org
Radio frequency fingerprint identification (RFFI) is an emerging device authentication
technique that relies on intrin-sic hardware characteristics of wireless devices. We designed …

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 …

Deep-learning-based physical layer authentication for industrial wireless sensor networks

RF Liao, H Wen, J Wu, F Pan, A Xu, Y Jiang, F Xie… - sensors, 2019 - mdpi.com
In this paper, a deep learning (DL)-based physical (PHY) layer authentication framework is
proposed to enhance the security of industrial wireless sensor networks (IWSNs). Three …

Threshold-free physical layer authentication based on machine learning for industrial wireless CPS

F Pan, Z Pang, H Wen, M Luvisotto… - IEEE Transactions …, 2019 - ieeexplore.ieee.org
Wireless industrial cyber-physical systems are increasingly popular in critical manufacturing
processes. These kinds of systems, besides high performance, require strong security and …

Security enhancement for mobile edge computing through physical layer authentication

RF Liao, H Wen, J Wu, F Pan, A Xu, H Song… - IEEE …, 2019 - ieeexplore.ieee.org
In this paper, we investigate the security threats in mobile edge computing (MEC) of Internet
of things, and propose a deep-learning (DL)-based physical (PHY) layer authentication …