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

Abstract : 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.
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https://hal.telecom-paris.fr/hal-03718688
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Submitted on : Friday, August 12, 2022 - 11:22:49 AM
Last modification on : Wednesday, August 17, 2022 - 9:43:14 AM

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Andrei Tănăsescu, Marios Choudary, Olivier Rioul, Pantelimon George Popescu. Tight and Scalable Side-Channel Attack Evaluations through Asymptotically Optimal Massey-like Inequalities on Guessing Entropy. Entropy, MDPI, 2021, 23 (11), pp.1538. ⟨10.3390/e23111538⟩. ⟨hal-03718688⟩

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