Cryptology ePrint Archive: Report 2020/1278

Compact Dilithium Implementations on Cortex-M3 and Cortex-M4

Denisa O. C. Greconici and Matthias J. Kannwischer and Daan Sprenkels

Abstract: We present implementations of the lattice-based digital signature scheme Dilithium for ARM Cortex-M3 and ARM Cortex-M4. Dilithium is one of the three signature finalists of the NIST post-quantum cryptography competition. As our Cortex-M4 target, we use the popular STM32F407-DISCOVERY development board. Compared to the previous speed records on the Cortex-M4 by Ravi, Gupta, Chattopadhyay, and Bhasin we speed up the key operations NTT and $\text{NTT}^{-1}$ by 20% which together with other optimizations results in speedups of 7%, 15%, and 9% for Dilithium3 key generation, signing, and verification respectively. We also present the first constant-time Dilithium implementation on the Cortex-M3 and use the Arduino Due for benchmarks. For Dilithium3, we achieve on average 2 562 kilocycles for key generation, 10 667 kilocycles for signing, and 2 321 kilocycles for verification. Additionally, we present stack consumption optimizations applying to both our CortexM3 and Cortex-M4 implementation. Due to the iterative nature of the Dilithium signing algorithm, there is no optimal way to achieve the best speed and lowest stack consumption at the same time. We present three different strategies for the signing procedure which allow trading more stack and flash memory for faster speed or vice-versa. Our implementation of Dilithium3 with the smallest memory footprint uses less than 12kB. As an additional output of this work, we present the first Cortex-M3 implementations of the key-encapsulation schemes NewHope and Kyber.

Category / Keywords: implementation / Dilithium, ARM Cortex-M4, ARM Cortex-M3, number theoric transform, lattice-based cryptography

Original Publication (in the same form): IACR-CHES-2021

Date: received 13 Oct 2020, last revised 15 Oct 2020

Contact author: d greconici at cs ru nl,matthias@kannwischer eu,daan@dsprenkels com

Available format(s): PDF | BibTeX Citation

Version: 20201015:093307 (All versions of this report)

Short URL: ia.cr/2020/1278