Cargando…
Model design and parameter optimization of CNN for side-channel cryptanalysis
BACKGROUND: The side-channel cryptanalysis method based on convolutional neural network (CNNSCA) can effectively carry out cryptographic attacks. The CNNSCA network models that achieve cryptanalysis mainly include CNNSCA based on the VGG variant (VGG-CNNSCA) and CNNSCA based on the Alexnet variant (...
Autores principales: | Liu, Yun Lin, Chen, Yan Kai, Li, Wei Xiong, Zhang, Yang |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
PeerJ Inc.
2022
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8771786/ https://www.ncbi.nlm.nih.gov/pubmed/35111917 http://dx.doi.org/10.7717/peerj-cs.829 |
Ejemplares similares
-
An enhanced CNN-LSTM remaining useful life prediction model for aircraft engine with attention mechanism
por: Li, Hao, et al.
Publicado: (2022) -
Performance analysis of lightweight CNN models to segment infectious lung tissues of COVID-19 cases from tomographic images
por: Iyer, Tharun J., et al.
Publicado: (2021) -
An efficient Equilibrium Optimizer for parameters identification of photovoltaic modules
por: Houssein, Essam H., et al.
Publicado: (2021) -
Deep fake detection using a sparse auto encoder with a graph capsule dual graph CNN
por: Kandasamy, Venkatachalam, et al.
Publicado: (2022) -
English teaching system design based on ID3 algorithm and node optimization
por: Jiang, Wangmeng, et al.
Publicado: (2023)