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- W4288303387 abstract "In a theoretical context of side-channel attacks, optimal bounds between success rate and guessing entropy are derived with a simple majorization (Schur-concavity) argument. They are further theoretically refined for different versions of the classical Hamming weight leakage model, in particular assuming a priori equiprobable secret keys and additive white Gaussian measurement noise. Closed-form expressions and numerical computation are given. A study of the impact of the choice of the substitution box with respect to side-channel resistance reveals that its nonlinearity tends to homogenize the expressivity of success rate and guessing entropy. The intriguing approximate relation <tex xmlns:mml=http://www.w3.org/1998/Math/MathML xmlns:xlink=http://www.w3.org/1999/xlink>$GE=1/SR$</tex> is observed in the case of 8-bit bytes and low noise." @default.
- W4288303387 created "2022-07-28" @default.
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- W4288303387 date "2022-08-01" @default.
- W4288303387 modified "2023-10-16" @default.
- W4288303387 title "Be My Guess: Guessing Entropy vs. Success Rate for Evaluating Side-Channel Attacks of Secure Chips" @default.
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- W4288303387 doi "https://doi.org/10.1109/dsd57027.2022.00072" @default.
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