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 -function is a permutation if and only if all of its components 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 -function is an APN permutation if and only if [1]
and
for any .
- ↑ 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