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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2021
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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) |
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guessing entropy side-channel attacks shannon entropy massey inequality Science Q Astrophysics QB460-466 Physics QC1-999 |
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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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