期刊论文

Li, L

英文

JOURNAL OF SUPERCOMPUTING

0920-8542

2024

80

4

4423-4450

10.1007/s11227-023-05631-3

We are grateful to the anonymous reviewers for their insightful comments. This work is supported by the Hunan Provincial Natural Science Foundation of China (2022JJ30103), "the 14th Five-Year Plan" Key Disciplines and Application-oriented Special Disciplin [2022JJ30103]; Hunan Provincial Natural Science Foundation of China [[2022] 351]; 14th Five-Year Plan" Key Disciplines and Application-oriented Special Disciplines of Hunan Province (Xiangjiaotong) [2016TP1020]; Science and Technology Innovation Program of Hunan Province [2022HSKFJJ011, 2021HSKFJJ038]; Open fund project of Hunan Provincial Key Laboratory of Intelligent Information Processing and Application for Hengyang Normal University

本校为第一且通讯机构

In recent years, the combination of deep learning and side-channel analysis has received extensive attention. Previous research has shown that the key recovery problem can be transformed into a classification problem. The performance of these models strongly depends on the size of the dataset and the number of instances in each target class. The training time is very long. In this paper, the key recovery problem is transformed into a similarity measurement problem in Siamese neural networks. We use simulated power traces and true power traces to form power pairs to augment data and simplify ke...