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arXiv · 2103.15620

Asymptotically Optimal Massey-Like Inequality on Guessing Entropy With Application to Side-Channel Attack Evaluations

Andrei Tănăsescu·Marios O. Choudary·Olivier Rioul·Pantelimon George Popescu
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Abstract

A Massey-like inequality is any useful lower bound on guessing entropy in terms of the computationally scalable Shannon entropy. The asymptotically optimal Massey-like inequality is determined and further refined for finite-support distributions. The impact of these results are highlighted for side-channel attack evaluation where guessing entropy is a key metric. In this context, the obtained bounds are compared to the state of the art.

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Andrei Tănăsescu, Marios O. Choudary, Olivier Rioul, Pantelimon George Popescu. 2021-03-29. Asymptotically Optimal Massey-Like Inequality on Guessing Entropy With Application to Side-Channel Attack Evaluations. https://arxiv.org/abs/2103.15620

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