期刊论文

Li, Lang(lilang911@126.com)

英文

International Journal of Machine Learning and Cybernetics

1868-8071

2022

13

10

3199-3209

10.1007/s13042-022-01588-6

This research is supported by Scientific Research Fund of Hunan Provincial Education Department with Grant No.19A072, Innovation Platform open Fund of Hengyang Normal University with Grant 2021HSKFJJ038, the science and technology innovation Program of Hunan Province (2016TP1020), Application-oriented Special Disciplines, Double First-Class University Project of Hunan Province (Xiangjiaotong [2018] 469).

本校为第一机构

Many researches transform the traditional side channel analysis (SCA) into a classification problem. However, there are some inconsistencies in the evaluation metrics and excessive training overhead. A regression model theory is proposed from power traces to intermediate values in this work. It leads us to design a random convolution model that can closely fit the timing features of power consumption and transform them directly to intermediate values. In training phase, the raw power traces on ASCAD is processed to the dataset with six subsets,...