Algebraic insights into the secret Feistel network

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Abstract

We introduce the high-degree indicator matrix (HDIM), an object closely related with both the linear approximation table and the algebraic normal form (ANF) of a permutation. We show that the HDIM of a Feistel Network contains very specific patterns depending on the degree of the Feistel functions, the number of rounds and whether the Feistel functions are 1-to-1 or not. We exploit these patterns to distinguish Feistel Networks, even if the Feistel Network is whitened using unknown affine layers. We also present a new type of structural attack exploiting monomials that cannot be present at round r−1 to recover the ANF of the last Feistel function of a r-round Feistel Network. Finally, we discuss the relations between our findings, integral attacks, cube attacks, Todo’s division property and the congruence modulo 4 of the Linear Approximation Table.

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APA

Perrin, L., & Udovenko, A. (2016). Algebraic insights into the secret Feistel network. In Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) (Vol. 9783, pp. 378–398). Springer Verlag. https://doi.org/10.1007/978-3-662-52993-5_19

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