A new APN function which is not equivalent to a power mapping

Coauthors G. Kyureghyan and A. Pott.

IEEE Transactions on Information Theory, 52 (2) (2006), 744-747.

doi:10.1109/TIT.2005.862128


Abstract:

A new almost perfect nonlinear function (APN) on GF(2^10) which is not equivalent to any of the previously known APN mappings is constructed. This is the first example of an APN mapping which is not equivalent to a power mapping.

Download the preprint as pdf, or from arXiv.org


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