Results 11 to 20 of about 2,557 (266)

Tangled Program Graph for Radio-Frequency Fingerprint Identification

2023 IEEE 34th Annual International Symposium on Personal, Indoor and Mobile Radio Communications (PIMRC), 2023
This paper proposes to use Tangled Program Graph (TPG) for Radio Frequency Fingerprint (RFF) identification. RFF is a unique signature created by electromagnetic distortions of the different radio frequency hardware components in the device. This signature is contained in the signal and may be used as a secure identifier because it can not be easily ...
Chillet, Alice, Boyer, Baptiste, Gerzaguet, Robin, Desnos, Karol, Gautier, Matthieu   +4 more
core   +5 more sources

Radio Frequency Fingerprint Collaborative Intelligent Blind Identification for Green Radios [PDF]

IEEE Transactions on Green Communications and Networking, 2023
Radio frequency fingerprint identification (RFFI) technology identifies the emitter by extracting one or more unintentional features of the signal from the emitter. To solve the problem that the traditional deep learning network is not highly adaptable for the contour features extracted from the signal, this paper proposes a novel RFFI method based on ...
Mingqian Liu, Chunheng Liu, Yunfei Chen 0001, Zhiwen Yan, Nan Zhao 0001   +4 more
openaire   +2 more sources

Radio Frequency Fingerprint Identification for LoRa Using Spectrogram and CNN [PDF]

IEEE INFOCOM 2021 - IEEE Conference on Computer Communications, 2021
Radio frequency fingerprint identification (RFFI) is an emerging device authentication technique that relies on intrinsic hardware characteristics of wireless devices. We designed an RFFI scheme for Long Range (LoRa) systems based on spectrogram and convolutional neural network (CNN). Specifically, we used spectrogram to represent the fine-grained time-
Shen, Guanxiong, Zhang, Junqing, Marshall, Alan, Peng, Linning, Wang, Xianbin, IEEE,   +5 more
openaire   +4 more sources

Radio Frequency Fingerprint Acquisition and Identification for Small Sample DMR Signals Under Blind Synchronization

IEEE Access
Radio frequency Fingerprint (RFF) is an emerging security technology that identifies devices by utilizing the RF impairments of hardware devices, with the acquisition of fingerprint signals serving as the foundation of fingerprint identification.
Wenlong Gou, Bing Han, Pengfei Sun, Yang Yu, Gang Wu   +4 more
doaj   +2 more sources

Radio Frequency Fingerprint Collaborative Intelligent Identification Using Incremental Learning [PDF]

IEEE Transactions on Network Science and Engineering, 2022
For distributed sensor systems using neural networks, each sub-network has a different electromagnetic environment, and these recognition accuracy is also different. In this paper, we propose a distributed sensor system using incremental learning to solve the problem of radio frequency fingerprint identification.
Mingqian Liu, Jiakun Wang, Nan Zhao 0001, Yunfei Chen 0001, Hao Song 0001, F. Richard Yu   +5 more
openaire   +2 more sources

Toward Length-Versatile and Noise-Robust Radio Frequency Fingerprint Identification [PDF]

IEEE Transactions on Information Forensics and Security, 2023
Radio frequency fingerprint identification (RFFI) can classify wireless devices by analyzing the signal distortions caused by the intrinsic hardware impairments. State-of-the-art neural networks have been adopted for RFFI. However, many neural networks, e.g., multilayer perceptron (MLP) and convolutional neural network (CNN), require fixed-size input ...
Guanxiong Shen, Junqing Zhang, Alan Marshall 0001, Mikko Valkama, Joseph R. Cavallaro   +4 more
core   +6 more sources

Towards Receiver-Agnostic and Collaborative Radio Frequency Fingerprint Identification

IEEE Transactions on Mobile Computing, 2022
Radio frequency fingerprint identification (RFFI) is an emerging device authentication technique, which exploits the hardware characteristics of the RF front-end as device identifiers. RFFI is implemented in the wireless receiver and acts to extract the transmitter impairments and then perform classification.
Guanxiong Shen, Junqing Zhang, Alan Marshall 0001, Roger F. Woods, Joseph R. Cavallaro, Liquan Chen   +5 more
openaire   +4 more sources

Investigating Sparse Neural Networks for Radio Frequency Fingerprint Identification

2024 IEEE 100th Vehicular Technology Conference (VTC2024-Fall)
Radio-Frequency Fingerprint Identification (RFFI) shows promise for enhancing wireless identification security through unique emitter imperfections. However, this method, which primarily relies on deep learning, faces challenges for a real-time deployment on edge devices.
Bothereau, Emma, Chillet, Alice, Gerzaguet, Robin, Gautier, Matthieu, Berder, Olivier   +4 more
core   +4 more sources

Dataset Augmentation and Fractional Frequency Offset Compensation Based Radio Frequency Fingerprint Identification in Drone Communications

Drones
The open nature of the wireless channel makes the drone communication vulnerable to adverse spoofing attacks, and the radio frequency fingerprint (RFF) identification is promising in effectively safeguarding the access security for drones.
Dongming Li, Zhaorui Wang, Yuting Lai, Huafei Shen   +3 more
doaj   +2 more sources

A survey on radio frequency fingerprint signal analysis and intelligent identification

Nantong Daxue xuebao. Ziran kexue ban
In the context of next-generation wireless communications and multi-source heterogeneous network systems, traditional cryptographic mechanisms and security protocols pose significant risks in Internet of things(IoT) environments.
YAN Gaoli; FU Xue; WANG Yu; GUI Guan
doaj   +2 more sources