Physical layer security for authentication, confidentiality, and malicious node detection: a paradigm shift in securing IoT networks

E Illi, M Qaraqe, S Althunibat… - … Surveys & Tutorials, 2023 - ieeexplore.ieee.org
The pervasiveness of commercial Internet of Things (IoT) around the globe is expected to
reach significant levels with the upcoming sixth generation of mobile networks (6G) …

Radio frequency fingerprint identification for device authentication in the internet of things

J Zhang, G Shen, W Saad… - IEEE Communications …, 2023 - ieeexplore.ieee.org
Device authentication of wireless devices at the physical layer could augment security
enforcement before fully decoding packets. At the upper layers of the stack, this is …

Towards scalable and channel-robust radio frequency fingerprint identification for LoRa

G Shen, J Zhang, A Marshall… - IEEE Transactions on …, 2022 - ieeexplore.ieee.org
Radio frequency fingerprint identification (RFFI) is a promising device authentication
technique based on transmitter hardware impairments. The device-specific hardware …

Radio frequency fingerprint identification based on slice integration cooperation and heat constellation trace figure

Y Peng, P Liu, Y Wang, G Gui… - IEEE Wireless …, 2021 - ieeexplore.ieee.org
Radio frequency fingerprint (RFF) identification is a popular topic in the field of physical layer
security. However, machine learning based RFF identification methods require complicated …

LT-SEI: Long-tailed specific emitter identification based on decoupled representation learning in low-resource scenarios

H Zha, H Wang, Z Feng, Z Xiang, W Yan… - IEEE Transactions …, 2023 - ieeexplore.ieee.org
In the case of COVID-19, which requires stable and reliable tracking of personnel
movement, aircraft identification by specific emitter identification (SEI) is a hot-button issue. It …

Supervised contrastive learning for RFF identification with limited samples

Y Peng, C Hou, Y Zhang, Y Lin, G Gui… - IEEE Internet of …, 2023 - ieeexplore.ieee.org
Radio-frequency fingerprint (RFF), which comes from the imperfect hardware, is a potential
feature to ensure the security of communication. With the development of deep learning …

Wisig: A large-scale wifi signal dataset for receiver and channel agnostic rf fingerprinting

S Hanna, S Karunaratne, D Cabric - IEEE Access, 2022 - ieeexplore.ieee.org
RF fingerprinting leverages circuit-level variability of transmitters to identify them using
signals they send. Signals used for identification are impacted by a wireless channel and …

Toward length-versatile and noise-robust radio frequency fingerprint identification

G Shen, J Zhang, A Marshall… - IEEE Transactions …, 2023 - ieeexplore.ieee.org
Radio frequency fingerprint identification (RFFI) can classify wireless devices by analyzing
the signal distortions caused by intrinsic hardware impairments. Recently, state-of-the-art …

Radio frequency fingerprint identification with hybrid time-varying distortions

J He, S Huang, S Chang, F Wang… - IEEE Transactions on …, 2023 - ieeexplore.ieee.org
Radio frequency fingerprint identification (RFFI) is a promising physical layer security
technique that employs the hardware-introduced features extracted from the received …

[HTML][HTML] Physical layer authentication in wireless networks-based machine learning approaches

L Alhoraibi, D Alghazzawi, R Alhebshi, OBJ Rabie - Sensors, 2023 - mdpi.com
The physical layer security of wireless networks is becoming increasingly important because
of the rapid development of wireless communications and the increasing security threats. In …