Results 151 to 160 of about 5,152 (203)

Research on RF Fingerprint Feature Selection Method

2020 IEEE 91st Vehicular Technology Conference (VTC2020-Spring), 2020
In the era of 5G and Internet of Things, the number of connected devices has increased dramatically, which has placed a heavy burden on the network. So it is worthwhile to study the intelligent and accurate identification and control of devices. Radio Frequency (RF) fingerprinting technology has been widely used in wireless device identification.
Ying Li 0108, Yun Lin 0005, Zheng Dou, Yifan Chen   +3 more
openaire   +1 more source

Novel device detection using RF fingerprints

2021 IEEE 11th Annual Computing and Communication Workshop and Conference (CCWC), 2021
Radio transmitters can be identified by their unique radio frequency (RF) fingerprints, which are imparted by their distinct hardware differences and manufacturing variations. However, traditional classification approaches require all classes to be known during training a constraint that may not hold in many real-world scenarios, with new RF devices ...
Josh Robinson, Scott Kuzdeba
openaire   +1 more source

An information theoretic approach to RF fingerprinting

2013 Asilomar Conference on Signals, Systems and Computers, 2013
RF fingerprinting exploits the variations in the RF chain of radios to uniquely identify transmitters, and distinguish adversarial transmissions from legitimate nodes. We provide a systematic approach rooted from information theory to understand basic performance limits of RF fingerprinting.
Onur Güngör 0002, Can Emre Koksal, Hesham El Gamal   +2 more
openaire   +1 more source

Improvements on transient signal detection for RF fingerprinting

2017 25th Signal Processing and Communications Applications Conference (SIU), 2017
The detection of the transient signal plays a significant role in RF fingerprinting for transmitter devices. This paper proposes modifications on two transient signal detection methods, namely, Bayesian change point detection and phase based detection. For initial tests, Bluetooth signals captured in the laboratory are used for performance analysis of ...
Aysha M. Ali, Emre Uzundurukan, Ali Kara
openaire   +2 more sources

Toward Receiver-Agnostic RF Fingerprint Verification

2019 IEEE Globecom Workshops (GC Wkshps), 2019
A number of successful RF fingerprint classifiers have been demonstrated, but relatively few results evaluate the impact of changing the receiver used for training and inference. In this work, we record a set of 25 ZigBee transmitters with 10 independent, unsynchronized receivers and first show that similar performance may be achieved by a neural ...
Kevin Merchant, Bryan Nousain
openaire   +1 more source

Dilated Causal Convolutional Model For RF Fingerprinting

2020 10th Annual Computing and Communication Workshop and Conference (CCWC), 2020
We design a network to classify individual wireless devices based on their radio frequency (RF) fingerprints imparted on transmitted signals. The network combines a stack of dilated causal convolution layers with traditional convolutional layers which we call an augmented dilated causal convolution (ADCC) network.
Josh Robinson, Scott Kuzdeba, James Stankowicz, Joseph M. Carmack   +3 more
openaire   +1 more source

RF Fingerprint detection in a wireless multipath channel

2010 7th International Symposium on Wireless Communication Systems, 2010
An RF Fingerprint is a unique signature passively imbued on a signal as it passes through a radio transmitter. We present the first RF Fingerprint detection technique capable of excellent performance in the presence of multipath propagation and the absence of a constant frequency offset.
Irwin O. Kennedy, Alexandr M. Kuzminskiy
openaire   +1 more source

Robust RF fingerprinting techniques in 4G networks

Proceedings of the 1st International Conference on Wireless Technologies for Humanitarian Relief, 2011
Robust RF fingerprinting-based location determination techniques and their system architecture are presented. The techniques are particularly designed for the 4G environment and tested in live mobile WiMAX networks.The causes for the signal measurement variation are identified, and the system is designed taking those into account.
Dongwoon Hahn, Ashok K. Agrawala
openaire   +1 more source

Research on RF Fingerprinting Extraction of Power Amplifier Based on Multi-domain RF-DNA Fingerprint

2019
The uniqueness of the RF signal is caused by the difference in the hardware structure of the transmitter and the differences between the different devices. Among them, RF power amplifier is one of the key components of RF fingerprinting of wireless transmitter.
Yihan Xiao, Xinyu Li 0008
openaire   +1 more source

Extracting Location Information from RF Fingerprints

2016 IEEE Globecom Workshops (GC Wkshps), 2016
Location Fingerprinting (LF) is a promising localization technique that enables many commercial and emergency location-based services (LBS). Significant efforts have been invested in enhancing LF using advanced machine learning methods. Most of these techniques require a huge amount of geo-tagged training data to achieve significant improvement in ...
Marzieh Dashti, Holger Claussen 0001
openaire   +1 more source