Cargando…
Hybrid Threshold Denoising Framework Using Singular Value Decomposition for Side-Channel Analysis Preprocessing
The traces used in side-channel analysis are essential to breaking the key of encryption and the signal quality greatly affects the correct rate of key guessing. Therefore, the preprocessing of side-channel traces plays an important role in side-channel analysis. The process of side-channel leakage...
Autores principales: | Wang, Yuanzhen, Zhang, Hongxin, Fang, Xing, Cui, Xiaotong, Ning, Wenxu, Wang, Danzhi, Fan, Fan, Shu, Lei |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
MDPI
2023
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10453108/ https://www.ncbi.nlm.nih.gov/pubmed/37628164 http://dx.doi.org/10.3390/e25081133 |
Ejemplares similares
-
Algebraic Persistent Fault Analysis of SKINNY_64 Based on S_Box Decomposition
por: Fang, Xing, et al.
Publicado: (2022) -
Spatiotemporal singular value decomposition for denoising in photoacoustic imaging with a low-energy excitation light source
por: Shi, Mengjie, et al.
Publicado: (2022) -
Multimode Decomposition and Wavelet Threshold Denoising of Mold Level Based on Mutual Information Entropy
por: Lei, Zhufeng, et al.
Publicado: (2019) -
Seismic Random Noise Denoising Using Mini-Batch Multivariate Variational Mode Decomposition
por: Wu, Guoning, et al.
Publicado: (2022) -
A Novel Singular Value Decomposition-Based Denoising Method in 4-Dimensional Computed Tomography of the Brain in Stroke Patients with Statistical Evaluation
por: Yang, WonSeok, et al.
Publicado: (2020)