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Book chapter · Conference paper

Analyzing Permutations for AES-like Ciphers: Understanding ShiftRows

Edited by Nyberg, Kaisa

From

Ruhr University Bochum1

Universität Passau2

Department of Applied Mathematics and Computer Science, Technical University of Denmark3

Cryptology, Department of Applied Mathematics and Computer Science, Technical University of Denmark4

Designing block ciphers and hash functions in a manner that resemble the AES in many aspects has been very popular since Rijndael was adopted as the Advanced Encryption Standard. However, in sharp contrast to the MixColumns operation, the security implications of the way the state is permuted by the operation resembling ShiftRows has never been studied in depth.

Here, we provide the first structured study of the influence of ShiftRows-like operations, or more generally, word-wise permutations, in AES-like ciphers with respect to diffusion properties and resistance towards differential- and linear attacks. After formalizing the concept of guaranteed trail weights, we show a range of equivalence results for permutation layers in this context.

We prove that the trail weight analysis when using arbitrary word-wise permutations, with rotations as a special case, reduces to a consideration of a specific normal form. Using a mixed-integer linear programming approach, we obtain optimal parameters for a wide range of AES-like ciphers, and show improvements on parameters for Rijndael-192, Rijndael-256, PRIMATEs-80 and Prøst-128.

As a separate result, we show for specific cases of the state geometry that a seemingly optimal bound on the trail weight can be obtained using cyclic rotations only for the permutation layer, i.e. in a very implementation friendly way.

Language: English
Publisher: Springer
Year: 2015
Pages: 37-58
Proceedings: The RSA Conference Cryptographers' Track (CT-RSA 2015)
Series: Lecture Notes in Computer Science
Journal subtitle: Proceedings of the Cryptographers’ Track at the Rsa Conference 2015
ISBN: 3319167146 , 3319167154 , 9783319167145 and 9783319167152
ISSN: 16113349 and 03029743
Types: Book chapter and Conference paper
DOI: 10.1007/978-3-319-16715-2_3

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