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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| Main Authors: | , , , |
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| Format: | Article |
| Language: | English |
| Published: |
Elsevier
2025-03-01
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| Series: | e-Prime: Advances in Electrical Engineering, Electronics and Energy |
| Subjects: | |
| Online Access: | http://www.sciencedirect.com/science/article/pii/S2772671125000543 |
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