ITMar 29, 2021
Asymptotically Optimal Massey-Like Inequality on Guessing Entropy With Application to Side-Channel Attack EvaluationsAndrei Tănăsescu, Marios O. Choudary, Olivier Rioul et al.
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.