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20172023
most citedSecuring Wireless Communications of the Internet of Things from the Physical Layer, An Overview

73 citations · 100 across the 20 of their papers we have counts for

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Showing eess.SPShow all

9 papers · 1 filter

eess.SP2023★ 2 cited

Secret Key Generation for IRS-Assisted Multi-Antenna Systems: A Machine Learning-Based Approach

Chen Chen, Junqing Zhang, Tianyu Lu +2

Physical-layer key generation (PKG) based on wireless channels is a lightweight technique to establish secure keys between legitimate communication nodes. Recently, intelligent ref…

eess.SP2023

Machine Learning-Based Secret Key Generation for IRS-assisted Multi-antenna Systems

Chen Chen, Junqing Zhang, Tianyu Lu +2

Physical-layer key generation (PKG) based on wireless channels is a lightweight technique to establish secure keys between legitimate communication nodes. Recently, intelligent ref…

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…

eess.SP2019★ 8 cited

A Channel Perceiving Attack on Long-Range Key Generation and Its Countermeasure

Lu Yang, Yansong Gao, Junqing Zhang +2

The physical-layer key generation is a lightweight technique to generate secret keys from wireless channels for resource-constrained Internet of things (IoT) applications. The secu…