39 citations · 47 across the 16 of their papers we have counts for
16 papers
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…
Practical Wi-Fi-based Motion Recognition Under Variable Traffic Patterns
Guolin Yin, Junqing Zhang, Guanxiong Shen +1
Wi-Fi sensing detects human motions and activities by analysing the channel state information (CSI) derived from Wi-Fi transmissions. However, the impact of variable transmission t…
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…
Secure Communication in MIMOME Movable-Antenna Systems with Statistical Eavesdropper CSI
Lei Xie, Peilan Wang, Guanxiong Shen +3
This paper investigates the potential of movable antennas (MAs) to enhance physical layer security within a multiple-input multiple-output multiple-antenna eavesdropper (MIMOME) sy…
Securing Cross-Domain Internet of Drones: An RFF-PUF Allied Authenticated Key Exchange Protocol With Over-the-Air Enrollment
Xuanyu Chen, Yue Zheng, Junqing Zhang +2
The Internet of Drones (IoD) is an emerging and crucial paradigm enabling advanced applications that require seamless, secure communication across heterogeneous and untrusted domai…
Towards Channel-Robust and Receiver-Independent Radio Frequency Fingerprint Identification
Jie Ma, Junqing Zhang, Guanxiong Shen +2
Radio frequency fingerprint identification (RFFI) is an emerging method for authenticating Internet of Things (IoT) devices. RFFI exploits the intrinsic and unique hardware imperfe…
Adversarial Attacks Against Deep Learning-Based Radio Frequency Fingerprint Identification
Jie Ma, Junqing Zhang, Guanxiong Shen +2
Radio frequency fingerprint identification (RFFI) is an emerging technique for the lightweight authentication of wireless Internet of things (IoT) devices. RFFI exploits deep learn…
Physical Layer-Based Device Fingerprinting for Wireless Security: From Theory to Practice
Junqing Zhang, Francesco Ardizzon, Mattia Piana +2
The identification of the devices from which a message is received is part of security mechanisms to ensure authentication in wireless communications. Conventional authentication a…
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…
White-Box Adversarial Attacks on Deep Learning-Based Radio Frequency Fingerprint Identification
Jie Ma, Junqing Zhang, Guanxiong Shen +2
Radio frequency fingerprint identification (RFFI) is an emerging technique for the lightweight authentication of wireless Internet of things (IoT) devices. RFFI exploits unique har…
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…
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…
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…
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.…
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…
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…