APN Permutations
Characterization of Permutations
Component Functions
An [math]\displaystyle{ (n,n) }[/math]-function [math]\displaystyle{ F }[/math] is a permutation if and only if all of its components [math]\displaystyle{ F_\lambda }[/math] for [math]\displaystyle{ \lambda \in \mathbb{F}_{2^n}^* }[/math] are balanced.
Autocorrelation Functions of the Directional Derivatives
The characterization in terms of the component functions given above can be equivalently expressed as
for any [math]\displaystyle{ \lambda \in \mathbb{F}_{2^n}^* }[/math].
Equivalently [1], [math]\displaystyle{ F }[/math] is a permutation if and only if
for any [math]\displaystyle{ \lambda \in \mathbb{F}_{2^n}^* }[/math].
Characterization of APN Permutations
On the component functions
Clearly we have that no component function can be of degree 1. (This result is true for general APN maps)
For n even we have also that no component can be partially-bent[2]. This implies that, in even dimension, no component can be of degree 2.
Autocorrelation Functions of the Directional Derivatives
An [math]\displaystyle{ (n,n) }[/math]-function [math]\displaystyle{ F }[/math] is an APN permutation if and only if [1]
and
for any [math]\displaystyle{ a \in \mathbb{F}_{2^n}^* }[/math].
- ↑ Jump up to: 1.0 1.1 Thierry Berger, Anne Canteaut, Pascale Charpin, Yann Laigle-Chapuy, On Almost Perfect Nonlinear Functions Over GF(2^n), IEEE Transactions on Information Theory, 2006 Sep,52(9),4160-70
- ↑ Marco Calderini, Massimiliano Sala, Irene Villa, A note on APN permutations in even dimension, Finite Fields and Their Applications, vol. 46, 1-16, 2017