A PSD-based fingerprinting approach to detect IoT device spoofing

F Galtier, R Cayre, G Auriol, M Kaâniche… - 2020 IEEE 25th …, 2020 - ieeexplore.ieee.org
Spoofing attacks are generally difficult to detect and can have potentially harmful
consequences on computer networks and applications. Wireless IoT networks, in the context …

Enhancing the security of OFDM-PONs with machine learning based device fingerprint identification

S Li, M Cheng, Y Chen, L Deng… - 45th European …, 2019 - ieeexplore.ieee.org
We propose and demonstrate an identity authentication method in OFDM-PON by
recognizing device fingerprints of ONUs. Experimental results show that rogue ONU can be …

DFSNet: Deep Fractional Scattering Network for LoRa Fingerprinting

T Zhang, P Ren, D Xu, Z Ren - GLOBECOM 2022-2022 IEEE …, 2022 - ieeexplore.ieee.org
Radio frequency fingerprints (RFF) identification is a critical enabling technology to support
rapid and scalable device identification in long rang (LoRa) based Internet of Things (IoT). In …

Towards receiver-agnostic and collaborative radio frequency fingerprint identification

G Shen, J Zhang, A Marshall, R Woods… - IEEE Transactions …, 2023 - ieeexplore.ieee.org
Radio frequency fingerprint identification (RFFI) is an emerging device authentication
technique, which exploits the hardware characteristics of the RF front-end as device …

Secure Access for Massive Devices in the Industrial Internet of Things (IIoT)

B Zhang, Z Xi, J Zhou, C He, B Lu… - 2023 4th International …, 2023 - ieeexplore.ieee.org
In the context of the widespread adoption of Industrial Internet of Things (IIoT) technology,
the number of IoT devices is rapidly increasing, leading to a significant security concern in …

[HTML][HTML] Game-theoretic physical layer authentication for spoofing detection in internet of things

Y Wu, T Jing, Q Gao, Y Wu, Y Huo - Digital Communications and Networks, 2023 - Elsevier
Abstract The Internet of Things (IoT) has permeated various fields relevant to our lives. In
these applications, countless IoT devices transmit vast amounts of data, which often carry …

Generative adversarial network-based rogue device identification using differential constellation trace figure

Z Chen, L Peng, A Hu, H Fu - EURASIP Journal on Wireless …, 2021 - Springer
With the dramatic development of the internet of things (IoT), security issues such as identity
authentication have received serious attention. The radio frequency (RF) fingerprint of IoT …

LoRa Radio Frequency Fingerprinting with Residual of Variational Mode Decomposition and Hybrid Machine-Learning/Deep-Learning Optimization

G Baldini, F Bonavitacola - Electronics, 2024 - mdpi.com
Radio Frequency Fingerprinting (RFF) refers to the technique for identifying and classifying
wireless devices on the basis of their physical characteristics, which appear in the digital …

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 …

Trust in 5G open RANs through machine learning: RF fingerprinting on the POWDER PAWR platform

G Reus-Muns, D Jaisinghani, K Sankhe… - … 2020-2020 IEEE …, 2020 - ieeexplore.ieee.org
5G and open radio access networks (Open RANs) will result in vendor-neutral hardware
deployment that will require additional diligence towards managing security risks. This new …