Power analysis attack: an approach based on machine learning

DOI10.1504/IJACT.2014.062722zbMath1351.94055OpenAlexW1970267951MaRDI QIDQ486132

Liran Lerman, Olivier Markowitch, Gianluca Bontempi

Publication date: 14 January 2015

Published in: International Journal of Applied Cryptography (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1504/ijact.2014.062722

zbMATH Keywords

cryptographysecuritycryptanalysismachine learningside-channel attackshigh dimensional feature vectorspower analysis attackstemplate attacks

Mathematics Subject Classification ID

Learning and adaptive systems in artificial intelligence (68T05) Cryptography (94A60)

Related Items (4)

Fake it till you make it: data augmentation using generative adversarial networks for all the crypto you need on small devices ⋮ Ridge-Based Profiled Differential Power Analysis ⋮ Profiled power analysis attacks using convolutional neural networks with domain knowledge ⋮ Climbing Down the Hierarchy: Hierarchical Classification for Machine Learning Side-Channel Attacks

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