activity
20202026
most citedPhysical Layer-Based Device Fingerprinting for Wireless Security: From Theory to Practice

39 citations · 47 across the 16 of their papers we have counts for

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9 papers · 1 filter

eess.SP2026

Secrets in Radio Waves: Towards Practical and Protocol-Agnostic PHY Information Hiding

Guanxiong Shen, Hailang Jia, Junqing Zhang +4

Physical layer (PHY) information hiding supports critical applications, such as digital fingerprinting for transmitter identification and undetectable side channels for covert comm…

eess.SP2026

Hiding Secrets in the CSI Quotient: A Robust Wi-Fi CSI Steganography System

Jiamu Guo, Hailang Jia, Guanxiong Shen +3

Physical layer (PHY) steganography conceals secrets by making subtle modifications to transmitted radio waveforms, which can be applied to establish covert communication systems. G…

eess.SP2024★ 4 cited

Residual Channel Boosts Contrastive Learning for Radio Frequency Fingerprint Identification

Rui Pan, Hui Chen, Guanxiong Shen +1

In order to address the issue of limited data samples for the deployment of pre-trained models in unseen environments, this paper proposes a residual channel-based data augmentatio…

eess.SP2022★ 2 cited

Towards Length-Versatile and Noise-Robust Radio Frequency Fingerprint Identification

Guanxiong Shen, Junqing Zhang, Alan Marshall +2

Radio frequency fingerprint identification (RFFI) can classify wireless devices by analyzing the signal distortions caused by the intrinsic hardware impairments. State-of-the-art n…

eess.SP2022

Towards Receiver-Agnostic and Collaborative Radio Frequency Fingerprint Identification

Guanxiong Shen, Junqing Zhang, Alan Marshall +3

Radio frequency fingerprint identification (RFFI) is an emerging device authentication technique, which exploits the hardware characteristics of the RF front-end as device identifi…

eess.SP2022

FewSense, Towards a Scalable and Cross-Domain Wi-Fi Sensing System Using Few-Shot Learning

Guolin Yin, Junqing Zhang, Guanxiong Shen +1

Wi-Fi sensing can classify human activities because each activity causes unique changes to the channel state information (CSI). Existing WiFi sensing suffers from limited scalabili…

eess.SP2021

Radio Frequency Fingerprint Identification for Security in Low-Cost IoT Devices

Guanxiong Shen, Junqing Zhang, Alan Marshall +2

Radio frequency fingerprint identification (RFFI) can uniquely classify wireless devices by analyzing the received signal distortions caused by the intrinsic hardware impairments.…

eess.SP2021★ 2 cited

Towards Scalable and Channel-Robust Radio Frequency Fingerprint Identification for LoRa

Guanxiong Shen, Junqing Zhang, Alan Marshall +1

Radio frequency fingerprint identification (RFFI) is a promising device authentication technique based on the transmitter hardware impairments. In this paper, we propose a scalable…

eess.SP2020

Radio Frequency Fingerprint Identification for LoRa Using Spectrogram and CNN

Guanxiong Shen, Junqing Zhang, Alan Marshall +2

Radio frequency fingerprint identification (RFFI) is an emerging device authentication technique that relies on intrinsic hardware characteristics of wireless devices. We designed…