3 citations · 4 across the 8 of their papers we have counts for
8 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…
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…
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…
A Robust Anti-noise Scheme for RF Fingerprint Identification
Junxian Shi, Linning Peng, Wentao Jing +3
Radio frequency (RF) fingerprint technology is utilized for wireless device identification, extensively employed in the internet of things (IoT). The operating environment for IoT…
Towards Robust RF Fingerprint Identification Using Spectral Regrowth and Carrier Frequency Offset
Lingnan Xie, Linning Peng, Junqing Zhang
Radio frequency fingerprint identification (RFFI) is a promising device authentication approach by exploiting the unique hardware impairments as device identifiers. Because the har…
Enabling Deep Learning-based Physical-layer Secret Key Generation for FDD-OFDM Systems in Multi-Environments
Xinwei Zhang, Guyue Li, Junqing Zhang +3
Deep learning-based physical-layer secret key generation (PKG) has been used to overcome the imperfect uplink/downlink channel reciprocity in frequency division duplexing (FDD) ort…