Abstract

For multi-output Boolean functions (also called S-boxes), various measures of nonlinearity have been widely discussed in the literature but many problems are left open in this topic. The purpose of this paper is to present a new approach to estimating the nonlinearity of S-boxes. A more fine-grained view on the notion of nonlinearity of S-boxes is presented and new connections to some linear codes are established. More precisely, we mainly study the nonlinearity indicator (denoted by ??v$\mathcal {N}_{\mathrm {v}}$) for S-boxes from a coding theory point of view. Such a cryptographic parameter ??v$\mathcal {N}_{\mathrm {v}}$ is more related to best affine approximation attacks on stream ciphers. We establish a direct link between ??v$\mathcal {N}_{\mathrm {v}}$ and the minimum distance of the corresponding linear code. We exploit that connection to derive the first general lower bounds on ??v$\mathcal {N}_{\mathrm {v}}$ of non-affine functions from ??2n$\mathbb {F}_{2^{n}}$ to ??2m$\mathbb {F}_{2^{m}}$ for m dividing n. Furthermore, we show that ??v$\mathcal {N}_{\mathrm {v}}$ can be determined directly by the weight distribution of the corresponding linear code.

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