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A deep learning-based side channel attack model for different block ciphers

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成果类型:
期刊论文
作者:
Li, Lang;Ou, Yu
通讯作者:
Ou, Y
作者机构:
[Ou, Yu] Hengyang Normal Univ, Coll Comp Sci & Technol, Hengyang 421002, Peoples R China.
Hengyang Normal Univ, Human Prov Key Lab Intelligent Informat Proc & App, Hengyang, Peoples R China.
通讯机构:
[Ou, Y ] H
Hengyang Normal Univ, Coll Comp Sci & Technol, Hengyang 421002, Peoples R China.
语种:
英文
关键词:
Deep learning;Regression analysis;Security of data;Side channel attack;Attack modeling;Block ciphers;Circuit state;Correlation coefficient;Deep learning;Problem-based;Regression problem;Side-channel analysis;Side-channel attacks;Special operations;Field programmable gate arrays (FPGA)
期刊:
Journal of Computational Science
ISSN:
1877-7503
年:
2023
卷:
72
页码:
102078
基金类别:
This research is supported by the Hunan Provincial Natural Science Foundation of China ( 2022JJ30103 ), “the 14th Five-Year Plan” Key Disciplines and Application-oriented Special Disciplines of Hunan Province (Xiangjiaotong [2022] 351), the Science and Technology Innovation Program of Hunan Province, China ( 2016TP1020 ), Open fund project of Hunan Provincial Key Laboratory of Intelligent Information Processing and Application for Hengyang Normal University ( 2022HSKFJJ011 , 2021HSKFJJ038 ).
机构署名:
本校为第一且通讯机构
院系归属:
计算机科学与技术学院
物理与电子工程学院
摘要:
Recently, there has been renewed interest in the combination of deep learning and side-channel analysis (SCA). Many previous studies have transformed the traditional SCA into a classification problem in deep learning. This paper considers it as a regression problem based on the principle that the changes of some circuit states are related to the special operation in cipher. We proposed a regression model which consists of an initial layer, a deep feature mining dense layer, and a regression layer. In the term of dataset, there are two sources of data: the raw ASCAD power traces and the data sa...

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