Direct Construction of Optimal Rotational-XOR Diffusion Primitives

Authors

  • Zhiyuan Guo TCA Labaratory, State Key Laboratory of Computer Science (SKLCS), Institute of Software, Chinese Academy of Sciences, Beijing, China; State Key Laboratory of Cryptology, P.O. Box 5159, Beijing 100878, China; University of Chinese Academy of Sciences, Beijing
  • Renzhang Liu State Key Laboratory of Information Security (SKLOIS), Institute of Information Engineering, Chinese Academy of Sciences, Beijing, China
  • Si Gao TCA Labaratory, State Key Laboratory of Computer Science (SKLCS), Institute of Software, Chinese Academy of Sciences, Beijing, China; University of Chinese Academy of Sciences, Beijing, China
  • Wenling Wu TCA Labaratory, State Key Laboratory of Computer Science (SKLCS), Institute of Software, Chinese Academy of Sciences, Beijing, China; State Key Laboratory of Cryptology, P.O. Box 5159, Beijing 100878, China; University of Chinese Academy of Sciences, Beijing, China
  • Dongdai Lin State Key Laboratory of Information Security (SKLOIS), Institute of Information Engineering, Chinese Academy of Sciences, Beijing, China

DOI:

https://doi.org/10.13154/tosc.v2017.i4.169-187

Keywords:

Lightweight Cryptography, MDS Diffusion Layers, Bit-wise Circulant Matrices, Multiple Platforms

Abstract

As a core component of SPN block cipher and hash function, diffusion layer is mainly introduced by matrices built from maximum distance separable (MDS) codes. Up to now, most MDS constructions require to perform an equivalent or even exhaustive search. In this paper, we study the cyclic structure of rotational-XOR diffusion layer, a commonly used diffusion primitive over (

Downloads

Published

2017-12-15

How to Cite

Guo, Z., Liu, R., Gao, S., Wu, W., & Lin, D. (2017). Direct Construction of Optimal Rotational-XOR Diffusion Primitives. IACR Transactions on Symmetric Cryptology, 2017(4), 169–187. https://doi.org/10.13154/tosc.v2017.i4.169-187

Issue

Volume 2017, Issue 4

Section

Articles

License

Copyright (c) 2017 Zhiyuan Guo, Renzhang Liu, Si Gao, Wenling Wu, Dongdai Lin

Creative Commons License

This work is licensed under a Creative Commons Attribution 4.0 International License.