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Radio frequency fingerprint identification for Internet of Things: A survey [PDF]

Security and Safety, 2023
Radio frequency fingerprint (RFF) identification is a promising technique for identifying Internet of Things (IoT) devices. This paper presents a comprehensive survey on RFF identification, which covers various aspects ranging from related definitions to
Xie Lingnan, Peng Linning, Zhang Junqing, Hu Aiqun   +3 more
doaj   +5 more sources

Construction of Hybrid Dual Radio Frequency RSSI (HDRF-RSSI) Fingerprint Database and Indoor Location Method

Sensors, 2020
Radio frequency communication technology has not only greatly improved public network service, but also developed a new technological route for indoor navigation service.
Haotai Sun, Xiaodong Zhu, Yuanning Liu, Wentao Liu   +3 more
doaj   +4 more sources

Radio Frequency Fingerprint Acquisition and Identification for Small Sample DMR Signals Under Blind Synchronization

IEEE Access
Radio frequency Fingerprint (RFF) is an emerging security technology that identifies devices by utilizing the RF impairments of hardware devices, with the acquisition of fingerprint signals serving as the foundation of fingerprint identification.
Wenlong Gou, Bing Han, Pengfei Sun, Yang Yu, Gang Wu   +4 more
doaj   +3 more sources

Radio Frequency Fingerprint Identification for Narrowband Systems, Modelling and Classification [PDF]

IEEE Transactions on Information Forensics and Security, 2021
Device authentication is essential for securing Internet of things. Radio frequency fingerprint identification (RFFI) is an emerging technique that exploits intrinsic and unique hardware impairments as the device identifier.
Junqing Zhang, Roger Woods, Magnus Sandell   +2 more
exaly   +3 more sources

Cross-Receiver Radio Frequency Fingerprint Identification: A Source-Free Adaptation Approach

Sensors
Radio frequency fingerprint identification (RFFI) leverages the unique characteristics of radio signals resulting from inherent hardware imperfections for identification, making it essential for applications in telecommunications, cybersecurity, and ...
Jian Yang, Shaoxian Zhu, Zhongyi Wen, Qiang Li   +3 more
doaj   +3 more sources

Radio Frequency Fingerprint Identification Based on Deep Complex Residual Network

IEEE Access, 2020
Radio frequency fingerprint identification is a non-password authentication method based on the physical layer hardware of the communication device. Deep learning methods provide new ideas and techniques for radio frequency fingerprint identification. As
Shenhua Wang, Hongliang Jiang, Xiaofang Fang, Yulong Ying, Jingchao Li, Bin Zhang   +5 more
doaj   +3 more sources

KAN-ResNet-Enhanced Radio Frequency Fingerprint Identification with Zero-Forcing Equalization

Sensors
Radio Frequency Fingerprint Identification (RFFI) is a promising device authentication technique that utilizes inherent hardware flaws in transmitters to achieve device identification, thus effectively maintaining the security of the Internet of Things ...
Hongbo Chen, Ruohua Zhou, Qingsheng Yuan, Ziye Guo, Wei Fu   +4 more
doaj   +2 more sources

Label-Efficient Learning for Radio Frequency Fingerprint Identification

2025 IEEE Wireless Communications and Networking Conference (WCNC)
Abstract: Radio Frequency Fingerprint Identification (RF FID) is a novel approach that aims to differentiate devices based on their unique signal transmissions, rather than their given identities. This approach has promising applications in wireless security, spectrum management, and sensing. Current RFFID research uses deep learning due to its success
Nhem, Thayheng, Denoodt, Fabian, Weyn, Maarten, Peeters, Michael, Oramas, José, Berkvens, Rafael   +5 more
openaire   +3 more sources

Open-Set Radio Frequency Fingerprint Identification Method Based on Multi-Task Prototype Learning

Sensors
Radio frequency (RF) fingerprinting, as an emerging physical layer security technology, demonstrates significant potential in the field of Internet of Things (IoT) security.
Zhao Ma, Shengliang Fang, Youchen Fan
doaj   +2 more sources

Mitigating Receiver Impact on Radio Frequency Fingerprint Identification via Domain Adaptation [PDF]

IEEE Internet of Things Journal
Radio frequency fingerprint identification (RFFI), which exploits nonideal hardware-induced unique distortion resident in the transmit signals to identify an emitter, is emerging as a means to enhance the security of communication systems.
Qiang Li, Shafei Wang
exaly   +2 more sources