English

Image sets of perfectly nonlinear maps

Combinatorics 2021-09-27 v3 Cryptography and Security Information Theory math.IT

Abstract

We consider image sets of differentially dd-uniform maps of finite fields. We present a lower bound on the image size of such maps and study their preimage distribution, by extending methods used for planar maps. We apply the results to study dd-uniform Dembowski-Ostrom polynomials. Further, we focus on a particularly interesting case of APN maps on binary fields. We show that APN maps with the minimal image size must have a very special preimage distribution. We prove that for an even nn the image sets of several well-studied families of APN maps are minimal. We present results connecting the image sets of special maps with their Walsh spectrum. Especially, we show that the fact that several large classes of APN maps have the classical Walsh spectrum is explained by the minimality of their image sets. Finally, we present upper bounds on the image size of APN maps.

Keywords

Cite

@article{arxiv.2012.00870,
  title  = {Image sets of perfectly nonlinear maps},
  author = {Lukas Kölsch and Björn Kriepke and Gohar M. Kyureghyan},
  journal= {arXiv preprint arXiv:2012.00870},
  year   = {2021}
}

Comments

Major revision

R2 v1 2026-06-23T20:39:24.859Z