Non-Profiled Deep Learning-based Side-Channel attacks with Sensitivity Analysis

Deep Learning has recently been introduced as a new alternative to perform Side-Channel analysis [MPP16]. Until now, studies have been focused on applying Deep Learning techniques to perform Profiled Side-Channel attacks where an attacker has a full control of a profiling device and is able to colle...

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Autor principal:	Benjamin Timon
Formato:	Artigo
Idioma:	Inglês
Publicado em:	Ruhr-Universität Bochum 2019-02-01
coleção:	Transactions on Cryptographic Hardware and Embedded Systems
Assuntos:	side-channel attacks deep learning machine learning non-profiled attacks profiled attacks sensitivity analysis
Acesso em linha:	https://tches.iacr.org/index.php/TCHES/article/view/7387
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