Sciweavers

SACRYPT
2000
Springer

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

13 years 10 months ago
Improved Upper Bound on the Nonlinearity of High Order Correlation Immune Functions
It has recently been shown that when m > 1 2 n - 1, the nonlinearity Nf of an mth-order correlation immune function f with n variables satisfies the condition of Nf 2n-1 - 2m , and that when m > 1 2 n - 2 and f is a balanced function, the nonlinearity satisfies Nf 2n-1 - 2m+1 . In this work we prove that the general inequality, namely Nf 2n-1 - 2m , can be improved to Nf 2n-1 - 2m+1 for m 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. Key Words: Correlation Immune Functions, Nonlinearity, Resilient Functions, Plateaued Functions, Stream Ciphers
Yuliang Zheng, Xian-Mo Zhang
Added 25 Aug 2010
Updated 25 Aug 2010
Type Conference
Year 2000
Where SACRYPT
Authors Yuliang Zheng, Xian-Mo Zhang
Comments (0)