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Multi-Channel Attentive Feature Fusion for Radio Frequency Fingerprinting

IEEE Transactions on Wireless Communications
Radio frequency (RF) fingerprinting is a promising device authentication technique for securing the Internet of Things. It exploits the intrinsic and unique hardware impairments of the transmitters for device identification. Recently, due to the superior
Yuan Zeng, Yi Gong, Shangao Lin
exaly   +2 more sources

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Radio Frequency Fingerprinting Improved by Statistical Noise Reduction

IEEE Transactions on Cognitive Communications and Networking, 2022
Lu Gan, Weidong Wang
exaly   +2 more sources

Cross-Device Radio Frequency Fingerprinting Identification Based on Domain Adaptation

IEEE Transactions on Consumer Electronics
Radio frequency fingerprinting (RFF) is a lightweight authentication technology for resource-limited terminal nodes by exploiting the unique hardware imperfections resulting from the manufacturing process.
Zhiwei Chen, Zhibo Pang, Wenjing Hou
exaly   +2 more sources

A Data-Independent Radio Frequency Fingerprint Extraction Scheme

IEEE Wireless Communications Letters, 2021
Radio frequency fingerprint (RFF) has been utilized to mitigate spoofing attacks in open wireless environments, making use of the inherent characteristics of hardware. However, most existing RFF technologies are data-dependent, e.g., based on preambles or synchronization sequences.
Yang Yang 0116, Aiqun Hu, Yuexiu Xing, Jiabao Yu, Zhen Zhang 0065   +4 more
openaire   +1 more source

Probabilistic Radio-Frequency Fingerprinting and Localization on the Run

Bell Labs Technical Journal, 2014
Indoor localization is a key enabler for pervasive computing and network optimization. WLAN positioning systems typically rely on fingerprints of Received Signal-Strength (RSS) measures from access points. In this paper, we review approaches for modeling full distributions of WiFi signals, including Bayesian graphical models, smoothing, compressive ...
Mirowski, Piotr, Milioris, Dimitrios, Whiting, Phil, Kam Ho, Tin   +3 more
openaire   +3 more sources

A comprehensive survey on radio frequency (RF) fingerprinting: Traditional approaches, deep learning, and open challenges

Computer Networks, 2022
Fifth generation (5G) network and beyond envision massive Internet of Things (IoT) rollout to support disruptive applications such as extended reality (XR), augmented/virtual reality (AR/VR), industrial automation, autonomous driving, and smart ...
Anu Jagannath, Jithin Jagannath
exaly   +2 more sources

Radio frequency fingerprinting based on the constellation errors

2012 18th Asia-Pacific Conference on Communications (APCC), 2012
Radio frequency fingerprinting (RFF) is used to uniquely identify individual radios. This paper investigates the sources of RF fingerprints and proposes a RFF approach based on the constellation errors. The transmitter imperfections and their effect on constellations are explored, from which the conclusion is made that the constellation errors contains
Yuanling Huang, Hui Zheng
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Radio Frequency Fingerprint Identification Based on Transfer Learning

2021 IEEE/CIC International Conference on Communications in China (ICCC), 2021
Given the current radio frequency(RF) fingerprint identification methods based on deep learning, there is a problem of poor recognition performance in the scene of RF fingerprint offset. This paper designs an Internet of Things (IoT) devices identification system based on software defined radio(SDR) and transfer learning (TL) technology.
Lvdong Chen, Caidan Zhao, Yicheng Zheng, Yilin Wang   +3 more
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Biometric Fingerprints Based Radio Frequency Identification

2005
In recent years, Radio Frequency Identification procedures have become very popular in various aspects of life. Radio frequency identification, or RFID, is a generic term for technologies that use radio waves to automatically identify people or objects.
Sundaram Jayakumar, Senthilkumar Chandramohan   +1 more
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Wavelet Fingerprinting of Radio-Frequency Identification (RFID) Tags

IEEE Transactions on Industrial Electronics, 2012
Unintentional modulations of the electromagnetic signal of radio-frequency (RF) emitters are used to identify individual sources of signals as unique from emitters of the same type in a procedure known as RF fingerprinting. It allows for the identification and tracking of physical threats, prevention of unauthorized access, and detecting cloning of ...
Crystal Bertoncini, Kevin Rudd, Bryan Nousain, Mark K. Hinders   +3 more
openaire   +1 more source