Beyond encryption: How deep learning can break microcontroller security through power analysis

This paper investigates the application of convolutional neural networks (CNNs) for power analysis attacks (PAAs) on cryptographic systems, specifically targeting resource-constrained devices like microcontrollers. Vulnerabilities in these systems stem from unintended information leakage through sid...

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Bibliographic Details

Published in:	e-Prime: Advances in Electrical Engineering, Electronics and Energy
Main Authors:	Ismail Negabi, Smail Ait El Asri, Samir El Adib, Naoufal Raissouni
Format:	Article
Language:	English
Published:	Elsevier 2025-03-01
Subjects:	Cryptography AES Side-channel attacks Power analysis attacks Deep learning CNNs
Online Access:	http://www.sciencedirect.com/science/article/pii/S2772671125000543