Single-Trace Attack Using One-Shot Learning With Siamese Network in Non-Profiled Setting

Single-Trace Attack Using One-Shot Learning With Siamese Network in Non-Profiled Setting

Recently, many studies have shown that using deep learning for side-channel attacks offers several advantages, including simplification of the attack phase and target breaking, even in protected implementations, while presenting outstanding attack performance. Power and electromagnetic analysis, whi...

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Bibliographic Details
Main Authors: Nayeon Lee, Seokhie Hong, Heeseok Kim
Format: Article
Language:English
Published: IEEE 2022-01-01
Series:IEEE Access
Subjects:
Deep learning
ECC
Montgomery ladder
non-profiling attack
one-shot learning
side channel attack
Online Access:https://ieeexplore.ieee.org/document/9791229/

Internet

https://ieeexplore.ieee.org/document/9791229/

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