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Intrinsic Resiliency of S-boxes Against Side-Channel Attacks -Best And Worst Scenarios

Abstract : Constructing S-boxes that are inherently resistant against side-channel attacks is an important problem in cryptography. By using an optimal distinguisher under an additive Gaussian noise assumption, we clarify how a defender (resp., an attacker) can make side-channel attacks as difficult (resp., easy) as possible, in relation with the auto-correlation spectrum of Boolean functions. We then construct balanced Boolean functions that are optimal for each of these two scenarios. Generalizing the objectives for an S-box, we analyze the auto-correlation spectra of some well-known S-box constructions in dimensions at most 8 and compare their intrinsic resiliency against side-channel attacks. Finally, we perform several simulations of side-channel attacks against the aforementioned constructions, which confirm our theoretical approach.
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Submitted on : Saturday, August 15, 2020 - 11:02:55 AM
Last modification on : Tuesday, October 19, 2021 - 11:16:45 AM
Long-term archiving on: : Monday, November 30, 2020 - 8:10:50 PM

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Claude Carlet, Eloi de Chérisey, Sylvain Guilley, Selçuk Kavut, Deng Tang. Intrinsic Resiliency of S-boxes Against Side-Channel Attacks -Best And Worst Scenarios. IEEE Transactions on Information Forensics and Security, Institute of Electrical and Electronics Engineers, 2021, 16, pp.203-218. ⟨10.1109/TIFS.2020.3006399⟩. ⟨hal-02915674⟩

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