Results 161 to 170 of about 3,152 (208)
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Radio Frequency Fingerprinting on the Edge
IEEE Transactions on Mobile Computing, 2022Deep learning methods have been very successful at radio frequency fingerprinting tasks, predicting the identity of transmitting devices with high accuracy. We study radio frequency fingerprinting deployments at resource-constrained edge devices.
Tong Jian +9 more
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A Review of Radio Frequency Fingerprinting Techniques
IEEE Journal of Radio Frequency Identification, 2020Radio frequency (RF) fingerprinting techniques have been used as an extra security layer for wireless devices. Unique fingerprints are used to identify wireless devices in order to avoid spoofing or impersonating attacks. These unique features can be extracted from imperfections of analog components during the manufacturing.
Naeimeh Soltanieh +3 more
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Probabilistic Radio-Frequency Fingerprinting and Localization on the Run
Bell Labs Technical Journal, 2014Indoor 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 +3 more
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Radio frequency fingerprinting based on the constellation errors
2012 18th Asia-Pacific Conference on Communications (APCC), 2012Radio 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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A Data-Independent Radio Frequency Fingerprint Extraction Scheme
IEEE Wireless Communications Letters, 2021Radio 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 +4 more
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Radio Frequency Fingerprint Identification Based on Transfer Learning
2021 IEEE/CIC International Conference on Communications in China (ICCC), 2021Given 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 +3 more
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Biometric Fingerprints Based Radio Frequency Identification
2005In 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 +1 more
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Wavelet Fingerprinting of Radio-Frequency Identification (RFID) Tags
IEEE Transactions on Industrial Electronics, 2012Unintentional 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 +3 more
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Deep Neural Networks for Radio Frequency Fingerprinting
2019As the Internet of Things (IoT) continues to expand, there is a growing necessity for improved techniques to authenticate the identity of wireless transmitters to prevent unauthorized network access. In this dissertation, we develop a series of physical-layer authentication, or radio frequency (RF) fingerprinting, techniques which utilize methods from ...
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