Results 11 to 20 of about 2,299 (249)

Domain Generalization for Cross-Receiver Radio Frequency Fingerprint Identification

IEEE Internet of Things Journal
Accepted by IEEE Internet of Things ...
Qiang Li
exaly   +3 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   +1 more source

Radio Frequency Fingerprinting for Frequency Hopping Emitter Identification [PDF]

Applied Sciences, 2021
In a frequency hopping spread spectrum (FHSS) network, the hopping pattern plays an important role in user authentication at the physical layer. However, recently, it has been possible to trace the hopping pattern through a blind estimation method for frequency hopping (FH) signals. If the hopping pattern can be reproduced, the attacker can imitate the
Jusung Kang, Younghak Shin, Hyunku Lee, Jintae Park, Heungno Lee   +4 more
openaire   +2 more sources

Radio Frequency Fingerprint Identification Based on Metric Learning

International Journal of Information Technologies and Systems Approach, 2023
With the popularization of the internet of things (IoT), its security has become increasingly prominent. Radio-frequency fingerprinting (RFF) is used as a physical-layer security method to provide security in wireless networks. However, the problems of poor performance in a highly noisy environment and less consideration of calculation resources are ...
Danyao Shen, Fengchao Zhu, Zhanpeng Zhang, Xiaodong Mu   +3 more
openaire   +1 more source

Radio Frequency Fingerprint Identification for Narrowband Systems, Modelling and Classification [PDF]

IEEE Transactions on Information Forensics and Security, 2021
Device authentication is essential for securing Internet of things. Radio frequency fingerprint identification (RFFI) is an emerging technique that exploits intrinsic and unique hardware impairments as the device identifier. The existing RFFI literature focuses on experimental exploration but comprehensive modelling is missing.
Junqing Zhang, Roger F. Woods, Magnus Sandell, Mikko Valkama, Alan Marshall 0001, Joseph R. Cavallaro   +5 more
openaire   +4 more sources

Development of an enhanced student identification system

Firat University Journal of Experimental and Computational Engineering, 2023
Identification, verification, and student authentication to prevent impersonation during examinations are essential. This is a predominant issue in institutions in developing countries such as Nigeria.
Olatilewa Abolade, Ignatius Okakwu, Ajibola Oyedejı   +2 more
doaj   +1 more source

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   +3 more sources

Overview of Radio Frequency Fingerprint Extraction in Specific Emitter Identification

Leida xuebao, 2020
Specific emitter identification is a technique of extracting the radio frequency fingerprints of the received electromagnetic signal only using external feature measurements to determine the specific emitter that transmits the signal.
Liting SUN, Zhitao HUANG, Xiang WANG, Fenghua WANG, Baoguo LI   +4 more
doaj   +1 more source

Radio Frequency Fingerprint Identification Based on Logarithmic Power Cosine Spectrum

IEEE Access, 2022
With the development of new Internet of Things (IoT) applications, such as unmanned ground vehicle (UGV), unmanned aerial vehicle (UAV), and unmanned surface vessel (USV), the security of wireless device identification is getting more and more attention.
Jingbo Zhang, Qingwen Wang, Xiaochen Guo, Xiaohan Zheng, Da Liu   +4 more
doaj   +1 more source

Research on communication emitter identification based on semi-supervised dimensionality reduction in complex electromagnetic environment [PDF]

Bulletin of the Polish Academy of Sciences: Technical Sciences, 2023
The individual identification of communication emitters is a process of identifying different emitters based on the radio frequency fingerprint features extracted from the received signals. Due to the inherent non-linearity of the emitter power amplifier,
Wei Ge, Lin Qi, Lin Tong, Jun Zhu, Jing Zhang, Dongyang Zhao, Ke Li   +6 more
doaj   +1 more source