Tight and Scalable Side-Channel Attack Evaluations through Asymptotically Optimal Massey-like Inequalities on Guessing Entropy

The bounds presented at CHES 2017 based on Massey’s guessing entropy represent the most scalable side-channel security evaluation method to date. In this paper, we present an improvement of this method, by determining the asymptotically optimal Massey-like inequality and then further refining it for...

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Autores principales: Andrei Tănăsescu, Marios O. Choudary, Olivier Rioul, Pantelimon George Popescu
Formato: article
Lenguaje:EN
Publicado: MDPI AG 2021
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spelling oai:doaj.org-article:bbb36787c13942409968395533f7abbb2021-11-25T17:30:44ZTight and Scalable Side-Channel Attack Evaluations through Asymptotically Optimal Massey-like Inequalities on Guessing Entropy10.3390/e231115381099-4300https://doaj.org/article/bbb36787c13942409968395533f7abbb2021-11-01T00:00:00Zhttps://www.mdpi.com/1099-4300/23/11/1538https://doaj.org/toc/1099-4300The bounds presented at CHES 2017 based on Massey’s guessing entropy represent the most scalable side-channel security evaluation method to date. In this paper, we present an improvement of this method, by determining the asymptotically optimal Massey-like inequality and then further refining it for finite support distributions. The impact of these results is highlighted for side-channel attack evaluations, demonstrating the improvements over the CHES 2017 bounds.Andrei TănăsescuMarios O. ChoudaryOlivier RioulPantelimon George PopescuMDPI AGarticleguessing entropyside-channel attacksshannon entropymassey inequalityScienceQAstrophysicsQB460-466PhysicsQC1-999ENEntropy, Vol 23, Iss 1538, p 1538 (2021)
institution DOAJ
collection DOAJ
language EN
topic guessing entropy
side-channel attacks
shannon entropy
massey inequality
Science
Q
Astrophysics
QB460-466
Physics
QC1-999
spellingShingle guessing entropy
side-channel attacks
shannon entropy
massey inequality
Science
Q
Astrophysics
QB460-466
Physics
QC1-999
Andrei Tănăsescu
Marios O. Choudary
Olivier Rioul
Pantelimon George Popescu
Tight and Scalable Side-Channel Attack Evaluations through Asymptotically Optimal Massey-like Inequalities on Guessing Entropy
description The bounds presented at CHES 2017 based on Massey’s guessing entropy represent the most scalable side-channel security evaluation method to date. In this paper, we present an improvement of this method, by determining the asymptotically optimal Massey-like inequality and then further refining it for finite support distributions. The impact of these results is highlighted for side-channel attack evaluations, demonstrating the improvements over the CHES 2017 bounds.
format article
author Andrei Tănăsescu
Marios O. Choudary
Olivier Rioul
Pantelimon George Popescu
author_facet Andrei Tănăsescu
Marios O. Choudary
Olivier Rioul
Pantelimon George Popescu
author_sort Andrei Tănăsescu
title Tight and Scalable Side-Channel Attack Evaluations through Asymptotically Optimal Massey-like Inequalities on Guessing Entropy
title_short Tight and Scalable Side-Channel Attack Evaluations through Asymptotically Optimal Massey-like Inequalities on Guessing Entropy
title_full Tight and Scalable Side-Channel Attack Evaluations through Asymptotically Optimal Massey-like Inequalities on Guessing Entropy
title_fullStr Tight and Scalable Side-Channel Attack Evaluations through Asymptotically Optimal Massey-like Inequalities on Guessing Entropy
title_full_unstemmed Tight and Scalable Side-Channel Attack Evaluations through Asymptotically Optimal Massey-like Inequalities on Guessing Entropy
title_sort tight and scalable side-channel attack evaluations through asymptotically optimal massey-like inequalities on guessing entropy
publisher MDPI AG
publishDate 2021
url https://doaj.org/article/bbb36787c13942409968395533f7abbb
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