Results 31 to 40 of about 275,031 (266)
Radio Frequency Fingerprint Identification Based on Logarithmic Power Cosine Spectrum
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 +4 more
doaj +1 more source
Radio frequency fingerprint collaborative intelligent identification using incremental learning [PDF]
For distributed sensor systems using neural networks, each sub-network has a different electromagnetic environment, and these recognition accuracy is also different.
Zhao, Nan +5 more
core +1 more source
Fine-Grained Radio Frequency Fingerprint Recognition Network Based on Attention Mechanism
With the rapid development of the internet of things (IoT), hundreds of millions of IoT devices, such as smart home appliances, intelligent-connected vehicles, and wearable devices, have been connected to the network.
Yulan Zhang +4 more
doaj +1 more source
Federated Radio Frequency Fingerprinting with Model Transfer and Adaptation
The Radio frequency (RF) fingerprinting technique makes highly secure device authentication possible for future networks by exploiting hardware imperfections introduced during manufacturing. Although this technique has received considerable attention over the past few years, RF fingerprinting still faces great challenges of channel-variation-induced ...
Chuanting Zhang +4 more
openaire +2 more sources
Radio Frequency Fingerprint Identification Based on Metric Learning
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 +3 more
openaire +1 more source
Differential Contour Stellar-Based Radio Frequency Fingerprint Identification for Internet of Things
Data attacks from illegal access devices of the Internet of Things will cause serious interference and threats to the entire network. It is difficult to ensure the security of the communication system only by relying on traditional application layer ...
Jingchao Li +3 more
doaj +1 more source
Development of an enhanced student identification system
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 +2 more
doaj +1 more source
Utilizing a multi-frame signal (MFS) rather than a single-frame signal (SFS) for radio frequency fingerprint authentication (RFFA) shows the advantage of higher accuracy.
Xufei Li, Shuiguang Zeng, Yangyang Liu
doaj +1 more source
With the dramatic development of the internet of things (IoT), security issues such as identity authentication have received serious attention. The radio frequency (RF) fingerprint of IoT device is an inherent feature, which can hardly be imitated.
Zekun Chen +3 more
doaj +1 more source
Towards Length-Versatile and Noise-Robust Radio Frequency Fingerprint Identification [PDF]
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.
Zhang, Junqing +15 more
core +1 more source

