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A Massey-like inequality is any useful lower bound on guessing entropy interms of the computationally scalable Shannon entropy. The asymptoticallyoptimal Massey-like inequality is determined and further refined forfinite-support distributions. The impact of these results are highlighted forside-channel attack evaluation where guessing entropy is a key metric. In thiscontext, the obtained bounds are compared to the state of the art.

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