Improved Upper Bound on the Nonlinearity of High Order Correlation Immune Functions

Improved Upper Bound on the Nonlinearity of High Order Correlation Immune Functions
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DOI:
10.1007/3-540-44983-3_19
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发表时间:
2000-08
期刊:
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影响因子:
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通讯作者:
Yuliang Zheng;Xian-Mo Zhang
Yuliang Zheng;Xian-Mo Zhang
中科院分区:
其他
文献类型:
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作者:
Yuliang Zheng;Xian-Mo Zhang

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当m> 1/2n- 1时,n元m阶相关免疫函数f的非线性度Nf满足Nf ≤ 2n-1- 2 m的条件;当m> 1/2n- 2且f是平衡函数时,非线性度Nf满足Nf ≤2n-1- 2 m +1.本文证明了一般不等式Nf ≤ 2n-1- 2 m可以从≥ 0.6n- 0.4改进为Nf ≤ 2n-1- 2 m +1,而与函数的平衡无关。我们还表明,相关免疫函数实现这些功能的最大非线性有密切的关系与平台功能。后者具有许多密码学上所需的属性。
It has recently been shown that whenm> 1/2n- 1, the nonlinearityNfof anmth-order correlation immune functionfwithnvariables satisfies the condition ofNf≤ 2n-1- 2m, and that whenm> 1/2n- 2 andfis a balanced function, the nonlinearity satisfiesNf≤2n-1- 2m+1. In this work we prove that the general inequality, namelyNf≤ 2n-1- 2m, can be improved toNf≤ 2n-1- 2m+1form≥ 0.6n- 0.4, regardless of the balance of the function. We also show that correlation immune functions achieving the maximum nonlinearity for these functions have close relationships with plateaued functions. The latter have a number of cryptographically desirable properties.