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Multiple Rows Mixers and Hsilu: A Family of Linear Layers and a Permutation with Fewer XORs
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| Abstract: | Over the past decades, extensive research has been conducted on lightweight cryptographic primitives. The linear layer plays an important role in their security. In this paper, we propose a family of linear layers consisting of XORs and rotations, which is called multiple rows mixers (MRM). It is a family designed for LS-type ciphers, but mixing elements from several rows. We investigate the impact of the linear layers on the 3-round trail weight of permutations and explore the properties of the inverse of the linear layers with a low XOR count. We employ a generic and extensible approach to determine the parameters of MRM. This approach can automatically generate linear layers that meet the requirements of a given branch number.By applying these design principles and methods, we derive a linear layer that has a dimension of 5 x 64, a differential branch number of 12, a linear branch number of 5 and a computational cost of 2.6 XOR operations per bit. MRM is not limited to fixed dimension and can be extended to other dimensions. In addition, we present a concrete instantiation of a 320-bit permutation using a more efficient instance of MRM, named Hsilu. Its non-linear layer employs the χ operating on columns. Compared with the permutations of Gaston and NIST lightweight standard Ascon, the round function of Hsilu requires fewer XOR operations. Hsilu exhibits competitive security and performance with Ascon and Gaston. We demonstrate that the best-found 3-round differential and linear trails of Hsilu have much higher weights than those of Ascon. Hsilu outperforms Gaston and Ascon in terms of both software and hardware performance. |
BibTeX
@article{tosc-2025-35843,
title={Multiple Rows Mixers and Hsilu: A Family of Linear Layers and a Permutation with Fewer XORs},
journal={IACR Transactions on Symmetric Cryptology},
publisher={Ruhr-Universität Bochum},
volume={2025},
pages={166-191},
url={https://tosc.iacr.org/index.php/ToSC/article/view/12247},
doi={10.46586/tosc.v2025.i2.166-191},
author={Xiaobin Yu and Meicheng Liu},
year=2025
}