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Cross-Attention Transformer for Channel-Robust Radio Frequency Fingerprint Identification

IEEE Sensors Journal
Deep learning (DL)-based radio frequency fingerprint identification (RFFI) has emerged as a promising technique owing to its impressive performance in wireless emitter identification.
Hui Hui, Chengwang Wu, Junliang Yao
semanticscholar   +1 more source

Channel-Resilient and Low-Power Radio Frequency Fingerprint Identification for VDES-SAT

IEEE Transactions on Cognitive Communications and Networking
Radio frequency fingerprint identification (RFFI) promises to deliver a security authentication paradigm for the VHF data exchange system satellite component (VDES-SAT) with high openness, but most previous works have not integrated the elements of ...
Qi Jiang, Jin Sha
semanticscholar   +1 more source

Deep Neural Networks for Radio Frequency Fingerprinting

2019
As 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 ...
openaire   +2 more sources

Antenna-in-Package Assurance with Radio Frequency Fingerprint

International Symposium for Testing and Failure Analysis, 2023
Abstract Antenna-in-packaging (AiP) enables the next generation of high-performance wireless 5G mmWave communication and beyond by incorporating antenna arrays in small form factors using System in Package (SiP) technology. The trend toward heterogeneous integration and advanced packaging will likely introduce more complexity to the ...
Rouhan Noor   +5 more
openaire   +1 more source

Enhanced Radio Frequency Fingerprint Identification Using Length-Robust Representation and Incremental Learning

IEEE Internet of Things Journal
Radio frequency fingerprinting identification (RFFI) leverages signal processing to extract unique characteristics from wireless signals for device identification.
Feng Shi   +7 more
semanticscholar   +1 more source

An Overview of Radio Frequency Fingerprinting for Low-End Devices

International Journal of Mobile Computing and Multimedia Communications, 2014
RF fingerprinting is proposed as a means of providing an additional layer of security for wireless devices. A masquerading or impersonation attacks can be prevented by establishing the identity of wireless transmitter using unique transmitter RF fingerprint. Unique RF fingerprints are attributable to the analog components (digital-to-analog converters,
Saeed Ur Rehman   +2 more
openaire   +1 more source

A Generalized Radio Frequency Fingerprint-Based Wireless Device Identification Using Siamese-Based Neural Network

IEEE Sensors Journal
Radio frequency (RF) fingerprint (RFF) refers to a unique hardware-related feature of RF devices, characterized by nonreproducible physical characteristics.
Rundong Jiang   +5 more
semanticscholar   +1 more source

High-Dimensional Radio Frequency Fingerprint Synthesis for Indoor Positioning

IEEE Transactions on Instrumentation and Measurement
Fingerprint-based indoor positioning systems (IPSs) are being explored to aid in location-based services due to their robustness in nonline-of-sight (NLOS) conditions.
Zhongyuan Lyu   +5 more
semanticscholar   +1 more source

Channel-Robust Radio Frequency Fingerprint Identification for Cellular Uplink LTE Devices

IEEE Internet of Things Journal
Radio frequency fingerprint identification (RFFI) is a promising authentication mechanism for physical-layer security. In this article, we thoroughly validate the feasibility of using RFFI for cellular long-term evolution (LTE) devices. First, we conduct
Linning Peng   +3 more
semanticscholar   +1 more source

Radio Frequency Fingerprint Identification Method in Wireless Communication

2018
The Radio frequency fingerprinting (RFF) generation mechanism is analyzed in this paper. It is proved to be a secure means for network security access. At the same time, the method of RFF extraction is also given. The characteristics of RFF are analyzed theoretically.
Zhe Li, Yanxin Yin, Lili Wu
openaire   +1 more source

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