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Higher order differentiation over finite fields with applications to generalising the cube attack

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posted on 2016-10-14, 10:40 authored by Ana SalageanAna Salagean, Richard Winter, Matei Mandache-Salagean, Raphael C.-W. Phan
Higher order differentiation was introduced in a cryptographic context by Lai. Several attacks can be viewed in the context of higher order differentiations, amongst them the cube attack of Dinur and Shamir and the AIDA attack of Vielhaber. All of the above have been developed for the binary case. We examine differentiation in larger fields, starting with the field GF(p) of integers modulo a prime p, and apply these techniques to generalising the cube attack to GF(p). The crucial difference is that now the degree in each variable can be higher than one, and our proposed attack will differentiate several times with respect to each variable (unlike the classical cube attack and its larger field version described by Dinur and Shamir, both of which differentiate at most once with respect to each variable). Connections to the Moebius/Reed Muller Transform over GF(p) are also examined. Finally we describe differentiation over finite fields GF(ps) with ps elements and show that it can be reduced to differentiation over GF(p), so a cube attack over GF(ps) would be equivalent to cube attacks over GF(p).

History

School

  • Science

Department

  • Computer Science

Published in

Designs, Codes and Cryptography

Pages

1 - 22 (22)

Citation

SALAGEAN, A.M. ... et al, 2017. Higher order differentiation over finite fields with applications to generalising the cube attack. Designs, Codes and Cryptography, 84(3), pp.425-449.

Publisher

Springer © The Author(s)

Version

  • VoR (Version of Record)

Publisher statement

This work is made available according to the conditions of the Creative Commons Attribution 4.0 International (CC BY 4.0) licence. Full details of this licence are available at: http://creativecommons.org/licenses/ by/4.0/

Publication date

2017

Notes

This is an Open Access Article. It is published by Springer under the Creative Commons Attribution 4.0 International Licence (CC BY). Full details of this licence are available at http://creativecommons.org/licenses/by/4.0/

Language

  • en