Asymptotically Optimal Massey-Like Inequality on Guessing Entropy With Application to Side-Channel Attack Evaluations
Information Theory
2021-03-30 v1 Cryptography and Security
math.IT
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.
Keywords
Cite
@article{arxiv.2103.15620,
title = {Asymptotically Optimal Massey-Like Inequality on Guessing Entropy With Application to Side-Channel Attack Evaluations},
author = {Andrei Tănăsescu and Marios O. Choudary and Olivier Rioul and Pantelimon George Popescu},
journal= {arXiv preprint arXiv:2103.15620},
year = {2021}
}