On the evaluation of deep learning-based side-channel analysis

DOI10.1007/978-3-030-99766-3_3zbMath1528.94085OpenAlexW3196768397MaRDI QIDQ6064590

Stjepan Picek, Lichao Wu, Guilherme Perin

Publication date: 12 December 2023

Published in: Constructive Side-Channel Analysis and Secure Design (Search for Journal in Brave)

Full work available at URL: http://resolver.tudelft.nl/uuid:af113cec-3d30-4c52-939b-3b2fe8f8e911

zbMATH Keywords

medianside-channel analysisdeep learningguessing entropy

Mathematics Subject Classification ID

Artificial neural networks and deep learning (68T07) Cryptography (94A60) Data encryption (aspects in computer science) (68P25)

Cites Work

• Unnamed Item
• On the influence of optimizers in deep learning-based side-channel analysis
• Robust profiling for DPA-style attacks
• Breaking cryptographic implementations using deep learning techniques
• Characterisation and Estimation of the Key Rank Distribution in the Context of Side Channel Evaluations
• A Unified Framework for the Analysis of Side-Channel Key Recovery Attacks
• Convolutional Neural Networks with Data Augmentation Against Jitter-Based Countermeasures
• Lightweight Ciphers and Their Side-Channel Resilience
• Power Analysis Attacks

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