版权说明 操作指南
首页 > 成果 > 详情

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

认领
导出
Link by DOI
反馈
分享
QQ微信 微博
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:
Side-channel analysis;Deep learning;Information security
期刊:
Journal of Computational Science
ISSN:
1877-7503
年:
2023
卷:
72
页码:
102078
基金类别:
Hunan Provincial Natural Science Foundation of China [2022JJ30103]; "the 14th Five-Year Plan" Key Disciplines and Application-oriented Special Disciplines of Hunan Province [[2022] 351]; 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...

反馈

验证码:
看不清楚,换一个
确定
取消

成果认领

标题:
用户 作者 通讯作者
请选择
请选择
确定
取消

提示

该栏目需要登录且有访问权限才可以访问

如果您有访问权限,请直接 登录访问

如果您没有访问权限,请联系管理员申请开通

管理员联系邮箱:yun@hnwdkj.com