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<p>The main contribution of this paper is to introduce <i>Subspace Differential Uniformity</i> (SDU) for S-boxes and block ciphers. The SDU is essentially a measure of how well any function spreads input differences clustered in affine subspaces away from affine clusters in output differences. We provide some lower bounds for the SDU and describe an efficient algorithm for computing the SDU. Moreover, we provide results for some popular classes of S-boxes up to <InlineEquation ID="IEq1"> <EquationSource Format="TEX">\(n=8\)</EquationSource> </InlineEquation>.</p>

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Subspace differential uniformity

  • 期刊论文

  • 出版模式：

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  • 发表日期：

    2026年5月22日

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  • Sondre Rønjom,
  • Arne Sandrib,
  • Joakim Sunde

摘要

The main contribution of this paper is to introduce Subspace Differential Uniformity (SDU) for S-boxes and block ciphers. The SDU is essentially a measure of how well any function spreads input differences clustered in affine subspaces away from affine clusters in output differences. We provide some lower bounds for the SDU and describe an efficient algorithm for computing the SDU. Moreover, we provide results for some popular classes of S-boxes up to \(n=8\) .