Paper 2023/174

Improved Heuristics for Low-latency Implementations of Linear Layers

Qun Liu, Shandong University
Zheng Zhao, Shandong University
Meiqin Wang, Shandong University
Abstract

In many applications, low area and low latency are required for the chip-level implementation of cryptographic primitives. The low-cost implementations of linear layers usually play a crucial role for symmetric ciphers. Some heuristic methods, such as the forward search and the backward search, minimize the number of XOR gates of the linear layer under the minimum latency limitation. For the sake of achieving further optimization for such implementation of the linear layer, we put forward a new general search framework attaching the division optimization and extending base techniques in this paper. In terms of the number of XOR gates and the searching time, our new search algorithm is better than the previous heuristics, including the forward search and the backward search when testing matrices provided by them. We obtain an improved implementation of AES MixColumns requiring only 102 XORs under minimum latency, which outdoes the previous best record provided by the forward search.

Metadata
Available format(s)
PDF
Publication info
Published elsewhere. CT-RSA 2023
Keywords
Lightweight cryptographyLinear layersLow latencyAES
Contact author(s)
qunliu @ mail sdu edu cn
zhaozheng @ mail sdu edu cn
mqwang @ sdu edu cn
History
2023-02-15: approved
2023-02-12: received
See all versions
Short URL
https://ia.cr/2023/174
License
Creative Commons Attribution
CC BY

BibTeX

@misc{cryptoeprint:2023/174,
      author = {Qun Liu and Zheng Zhao and Meiqin Wang},
      title = {Improved Heuristics for Low-latency Implementations of Linear Layers},
      howpublished = {Cryptology {ePrint} Archive, Paper 2023/174},
      year = {2023},
      url = {https://eprint.iacr.org/2023/174}
}
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