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arXiv 2409.03467cs.ITcs.CRmath.ITmath.NT
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具有最优二阶差分均匀度的三次幂函数

Cubic power functions with optimal second-order differential uniformity

Connor O'Reilly, Ana Sălăgean

AI总结:

本文研究向量布尔函数的二阶差分均匀度,证明一类特定指数的三次单项式函数具有最优二阶差分均匀度,并基于计算结果探讨其仿射等价唯一性及向所有三次单项式推广的问题。

摘要:

我们讨论向量布尔函数的二阶差分均匀度。与之密切相关的二阶零差分均匀度概念最近被研究用于抵抗回旋镖攻击。我们证明,具有单变量形式 $x^d$ 且 $d=2^{2k}+2^k+1$、$\gcd(k,n)=1$ 的单项式函数具有最优二阶差分均匀度。计算结果表明,在仿射等价意义下,这些可能是唯一的最优三次幂函数。我们开始着手将此类条件推广到所有代数次数为 3 的单项式函数。我们还讨论了由计算结果引出的进一步问题。

英文摘要:

We discuss the second-order differential uniformity of vectorial Boolean functions. The closely related notion of second-order zero differential uniformity has recently been studied in connection to resistance to the boomerang attack. We prove that monomial functions with univariate form $x^d$ where $d=2^{2k}+2^k+1$ and $\gcd(k,n)=1$ have optimal second-order differential uniformity. Computational results suggest that, up to affine equivalence, these might be the only optimal cubic power functions. We begin work towards generalising such conditions to all monomial functions of algebraic degree 3. We also discuss further questions arising from computational results.

机构、总结、中文摘要均由AI分析而来,可能存在错误,请以论文正文为准。

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