Differential Cryptanalysis of Round-Reduced Sparx-64/128. / Ankele, Ralph; List, Eik.

ACNS 2018 Applied Cryptography & Network security.. ed. / Bart Preneel; Frederik Vercauteren. Vol. 10892 Leuven, Belgium : Springer International Publishing, 2018. p. 459-475 (Lecture Notes in Computer Science).

Research output: Chapter in Book/Report/Conference proceedingConference contribution

E-pub ahead of print

Documents

  • 332

    Accepted author manuscript, 266 KB, PDF-document

Abstract

Sparx is a family of ARX-based block ciphers designed according to the long-trail strategy (LTS) that were both introduced by Dinu et al. at ASIACRYPT'16. Similar to the wide-trail strategy, the LTS allows provable upper bounds on the length of differential characteristics and linear paths. Thus, the cipher is a highly interesting target for third-party cryptanalysis. However, the only third-party cryptanalysis on Sparx-64/128 to date was given by Abdelkhalek et al. at AFRICACRYPT'17 who proposed impossible-differential attacks on 15 and 16 (out of 24) rounds.

In this paper, we present chosen-ciphertext differential attacks on 16 rounds of Sparx-64/128. First, we show a truncated-differential analysis that requires 2^32
chosen ciphertexts and approximately 2^93 encryptions. Second, we illustrate the effectiveness of boomerangs on Sparx by a rectangle attack that requires approximately 2^59.6 chosen ciphertexts and about 2^122.2 encryption equivalents. Finally, we also considered a yoyo attack on 16 rounds that, however, requires the full codebook and approximately 2^126 encryption equivalents.
Original languageEnglish
Title of host publicationACNS 2018 Applied Cryptography & Network security.
EditorsBart Preneel, Frederik Vercauteren
Place of PublicationLeuven, Belgium
PublisherSpringer International Publishing
Pages459-475
Number of pages17
Volume10892
ISBN (Electronic)978-3-319-93387-0
ISBN (Print)978-3-319-93386-3
DOIs
StateE-pub ahead of print - 10 Jun 2018

Publication series

NameLecture Notes in Computer Science
This open access research output is licenced under a Creative Commons Attribution-NonCommercial-NoDerivs 3.0 Unported License.

ID: 29983970