APN Permutations: Difference between revisions

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= Characterization of APN Permutations =
= 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 <i>n</i> even we have also that no component can be partially-bent<ref name="CalSalVil"> Marco Calderini, Massimiliano Sala, Irene Villa, ''A note on APN permutations in even dimension'', Finite Fields and Their Applications, vol. 46, 1-16, 2017</ref>.
This implies that, in even dimension, no component can be of degree 2.


== Autocorrelation Functions of the Directional Derivatives ==
== Autocorrelation Functions of the Directional Derivatives ==

Revision as of 13:29, 23 September 2019

Characterization of Permutations

Component Functions

An Failed to parse (Conversion error. Server ("https://wikimedia.org/api/rest_") reported: "Cannot get mml. Server problem."): {\displaystyle (n,n)} -function is a permutation if and only if all of its components Failed to parse (Conversion error. Server ("https://wikimedia.org/api/rest_") reported: "Cannot get mml. Server problem."): {\displaystyle F_{\lambda }} for 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 .

Equivalently [1], is a permutation if and only if

for any .

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 Failed to parse (Conversion error. Server ("https://wikimedia.org/api/rest_") reported: "Cannot get mml. Server problem."): {\displaystyle (n,n)} -function is an APN permutation if and only if [1]

and

for any .

  1. ↑ 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
  2. ↑ Marco Calderini, Massimiliano Sala, Irene Villa, A note on APN permutations in even dimension, Finite Fields and Their Applications, vol. 46, 1-16, 2017