Results 201 to 210 of about 275,031 (266)
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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 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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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 Fingerprint Identification for Device Authentication in the Internet of Things
IEEE Communications Magazine, 2023Device 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 conventionally handled by cryptographic schemes. However, the associated computing
Junqing Zhang +3 more
semanticscholar +1 more source
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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Toward Robust Radio Frequency Fingerprint Identification via Adaptive Semantic Augmentation
IEEE Transactions on Information Forensics and SecurityRadio frequency fingerprint identification (RFFI) is regarded as one of the most promising techniques for managing and regulating Internet of Things (IoT) devices. This technology analyzes the unique electromagnetic signals emitted by wireless devices to
Zhenxin Cai, Yu Wang, Guan Gui, Jin Sha
semanticscholar +1 more source
A Novel Radio Frequency Fingerprint Identification Scheme for Few-Shot Open-Set Recognition
IEEE Internet of Things JournalRadio frequency fingerprint identification (RFFI) has become a crucial technology in physical layer authentication, and plays an important role in authenticating the identities of wireless communication devices in the Internet of Things (IoT).
Wei Xie +5 more
semanticscholar +1 more source
Receiver-Agnostic Radio Frequency Fingerprint Identification for Zero-Trust Wireless Networks
IEEE Journal on Selected Areas in CommunicationsZero-trust has emerged as a promising security paradigm for next-generation networks (NGN). However, conventional cryptographic schemes struggle with continuous and dynamic authentication due to their coarse granularity and cumbersome processes.
Kunling Li +4 more
semanticscholar +1 more source
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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