Cryptology ePrint Archive: Report 2021/965

Automatic Search for Bit-based Division Property

Shibam Ghosh and Orr Dunkelman

Abstract: Division properties, introduced by Todo at Eurocrypt 2015, are extremely useful in cryptanalysis, are an extension of square attack (also called saturation attack or integral cryptanalysis). Given their im- portance, a large number of works tried to offer automatic tools to find division properties, primarily based on MILP or SAT/SMT. This paper studies better modeling techniques for finding division properties using the Constraint Programming and SAT/SMT-based automatic tools. We use the fact that the Quine-McCluskey algorithm produces a concise CNF representation corresponding to the division trail table of an Sbox. As a result, we can offer significantly more compact models, which allow SAT and Constraint Programming tools to outperform previous results. To show the strength of our new approach, we look at the NIST lightweight candidate KNOT and Ascon. We show several new distinguishers with a lower data complexity for 17-round KNOT-256, KNOT-384 and 19- round KNOT-512. In addition, for the 5-round Ascon, we get a lower data distinguisher than the previous division-based results. Finally, we revisit the method to extend the integral distinguisher by composing linear layers at the input and output. We provide a formu- lation to find the optimal number of linear combinations that need to be considered. As a result of this new formulation, we prove that 18- round KNOT-256 and KNOT-384 have no integral distinguisher using conventional division property and we show this more efficiently than the previous methods.

Category / Keywords: secret-key cryptography / Constraint programming, division property, integral crypt- analysis, KNOT, Ascon.

Original Publication (with minor differences): Latin Crypt 2021

Date: received 16 Jul 2021

Contact author: sghosh03 at campus haifa ac il, orrd at cs haifa ac il

Available format(s): PDF | BibTeX Citation

Version: 20210722:091341 (All versions of this report)

Short URL: ia.cr/2021/965


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