Radio frequency fingerprint identification for Internet of Things: A survey

L Xie, L Peng, J Zhang, A Hu - Security and Safety, 2024 - sands.edpsciences.org
Radio frequency fingerprint (RFF) identification is a promising technique for identifying
Internet of Things (IoT) devices. This paper presents a comprehensive survey on RFF …

Deep learning based RF fingerprint identification with channel effects mitigation

H Fu, L Peng, M Liu, A Hu - IEEE Open Journal of the …, 2023 - ieeexplore.ieee.org
The radio frequency fingerprint (RFF)-based device identification is a promising physical
layer authentication technique. However, the wireless channel significantly affects the RFF …

Channel Prediction-Based Security Authentication for Artificial Intelligence of Things

X Qiu, J Yu, W Zhuang, G Li, X Sun - Sensors, 2023 - mdpi.com
The emerging physical-layer unclonable attribute-aided authentication (PLUA) schemes are
capable of outperforming traditional isolated approaches, with the advantage of having …

Exploration of transferable deep learning-aided radio frequency fingerprint identification systems

G Shen, J Zhang - Security and Safety, 2024 - sands.edpsciences.org
Radio frequency fingerprint identification (RFFI) shows great potential as a means for
authenticating wireless devices. As RFFI can be addressed as a classification problem …

Multi-user Physical Layer Authentication Based on CSI Using ResNet in Mobile IIoT

T Jing, H Huang, Q Gao, Y Wu, Y Huo… - IEEE Transactions on …, 2023 - ieeexplore.ieee.org
In the context of the industrial Internet of Things (IIoT), communication devices are typically
mobile, increasing the complexity and diversity of channels due to metal device occlusion. A …

Radio Frequency Fingerprint Identification for 5G Mobile Devices Using DCTF and Deep Learning

H Fu, H Dong, J Yin, L Peng - Entropy, 2023 - mdpi.com
The fifth-generation (5G) mobile cellular network is vulnerable to various security threats.
Radio frequency fingerprint (RFF) identification is an emerging physical layer authentication …

RF Signal Feature Extraction in Integrated Sensing and Communication

X Wang, S Sun, H Zhang, Q Liu - IET Signal Processing, 2023 - Wiley Online Library
Because of the open property of information sharing in integrated sensing and
communication, it is inevitable to face security problems such as user information being …

[图书][B] Deep learning enhanced radio frequency fingerprint identification for LoRa

G Shen - 2023 - search.proquest.com
Wireless security is becoming a critical concern in the era of the Internet of Things (IoT).
Radio frequency fingerprint identification (RFFI) is an authentication technique that identifies …

Beam Pattern Fingerprinting with Missing Features for Spoofing Attack Detection in Millimeter-Wave Networks

Y Jiang, L Jiao, L Zhao, K Zeng - … of the 2022 ACM Workshop on …, 2022 - dl.acm.org
As one of the key enabling technologies of 5G wireless communication, millimeter-Wave
(mmWave) technology unlocks the ultra-wide bandwidth opportunity in supporting high …

RF Fingerprint Identification for 5G Mobile Device Based on Transient Features

H Fu, J Yin, L Peng - … on Signal and Image Processing (ICSIP), 2023 - ieeexplore.ieee.org
In this paper, we propose an radio frequency (RF) fingerprint extraction method based on
transient features for 5G mobile phones. From the perspective of network access security …