An efficient specific emitter identification method based on complex-valued neural networks and network compression

Y Wang, G Gui, H Gacanin, T Ohtsuki… - IEEE Journal on …, 2021 - ieeexplore.ieee.org
Specific emitter identification (SEI) is a promising technology to discriminate the individual
emitter and enhance the security of various wireless communication systems. SEI is …

Physical layer authentication in wireless networks-based machine learning approaches

L Alhoraibi, D Alghazzawi, R Alhebshi, OBJ Rabie - Sensors, 2023 - mdpi.com
The physical layer security of wireless networks is becoming increasingly important because
of the rapid development of wireless communications and the increasing security threats. In …

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 …

Eingerprint: Robust energy-related fingerprinting for passive {RFID} tags

X Chen, J Liu, X Wang, H Liu, D Jiang… - 17th USENIX Symposium …, 2020 - usenix.org
RFID tag authentication is challenging because most advanced cryptographic algorithms
cannot be afforded by passive tags. Recent physical-layer identification utilizes unique …

FID: Function modeling-based data-independent and channel-robust physical-layer identification

T Zheng, Z Sun, K Ren - IEEE INFOCOM 2019-IEEE …, 2019 - ieeexplore.ieee.org
Trusted identification is critical to secure IoT devices. However, the limited memory and
computation power of low-end IoT devices prevent the direct usage of conventional …

Radio frequency signal identification using transfer learning based on LSTM

X Wang, Y Zhang, H Zhang, Y Li, X Wei - Circuits, Systems, and Signal …, 2020 - Springer
Radio frequency distinct native attribute (RF-DNA) technology is very important in
distinguishing RF devices. This paper presents a new method for distinguishing RF devices …

Radio frequency fingerprinting techniques for device identification: a survey

S Abbas, M Abu Talib, Q Nasir, S Idhis… - International Journal of …, 2024 - Springer
Abstract The Internet of Things (IoT) paradigm and the advanced wireless technologies of
5G and beyond are expected to enable diverse applications such as autonomous driving …

A photonics-inspired compact network: toward real-time AI processing in communication systems

HT Peng, JC Lederman, L Xu… - IEEE Journal of …, 2022 - ieeexplore.ieee.org
Machine learning methods are ubiquitous in communication systems and have proven
powerful for applications including radio-frequency (RF) fingerprinting, automatic modulation …

Device authentication codes based on RF fingerprinting using deep learning

J Bassey, X Li, L Qian - arXiv preprint arXiv:2004.08742, 2020 - arxiv.org
In this paper, we propose Device Authentication Code (DAC), a novel method for
authenticating IoT devices with wireless interface by exploiting their radio frequency (RF) …

Three level recognition based on the average of the phase differences in physical wireless parameter conversion sensor networks and its effect to localization with …

T Ito, M Oda, O Takyu, M Ohta, T Fujii, K Adachi - Sensors, 2023 - mdpi.com
In recent years, there have been increased demands for aggregating sensor information
from several sensors owing to the spread of the Internet of Things (IoT). However, packet …