Paper 2025/471 Original: eprint.iacr.org/2025/471 ↗

A Practical Tutorial on Deep Learning-based Side-channel Analysis

Sengim Karayalcin
Marina Krcek
Stjepan Picek
Abstract

This tutorial provides a practical introduction to Deep Learning-based Side-Channel Analysis (DLSCA), a powerful approach for evaluating the security of cryptographic implementations. Leveraging publicly available datasets and a Google Colab service, we guide readers through the fundamental steps of DLSCA, offering clear explanations and code snippets. We focus on the core DLSCA framework, providing references for more advanced techniques, and address the growing interest in this field driven by emerging standardization efforts like AIS 46. This tutorial is designed to be accessible to researchers, students, and practitioners seeking to learn practical DLSCA techniques and improve the security of cryptographic systems.

Metadata
Available format(s)
PDF
Category
Attacks and cryptanalysis
Publication info
Preprint.
History
2025-07-17: last updated
2025-03-12: published
Short URL
https://ia.cr/2025/471
License
https://creativecommons.org/licenses/by/4.0/

BibTeX

@misc{cryptoeprint:2025/471,
      author = {Sengim Karayalcin and Marina Krcek and Stjepan Picek},
      title = {A Practical Tutorial on Deep Learning-based Side-channel Analysis},
      howpublished = {Cryptology {ePrint} Archive, Paper 2025/471},
      year = {2025},
      url = {https://eprint.iacr.org/2025/471}
}
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