Welcome to the resource topic for 2022/112
Title:
Faster Kyber and Dilithium on the Cortex-M4
Authors: Amin Abdulrahman, Vincent Hwang, Matthias J. Kannwischer, Daan Sprenkels
Abstract:This paper presents faster implementations of the lattice-based schemes Dilithium and Kyber on the Cortex-M4. Dilithium is one of the three signature finalists in the NIST post-quantum project (NIST PQC), while Kyber is one of the four key-encapsulation mechanism (KEM) finalists. Our optimizations affect the core polynomial arithmetic using the number-theoretic transform (NTT) of both schemes. Our main contributions are threefold: We present a faster signed Barrett reduction for Kyber, propose to switch to a smaller prime modulus for the polynomial multiplications (c\mathbf{s}_1) and (c\mathbf{s}_2) in the signing procedure of Dilithium, and apply various known optimizations to the polynomial arithmetic in both schemes. Using a smaller prime modulus is particularly interesting as it allows using the Fermat number transform resulting in especially fast code. We outperform the state-of-the-art for both Dilithium and Kyber. For Dilithium, our NTT and iNTT are faster by 5.2% and 5.7%. Switching to a smaller modulus results in speed-up of 33.1%-37.6% for the relevant operations (sum of basemul and iNTT) in the signing procedure. For Kyber, the optimizations results in 15.9%-17.8% faster matrix-vector product which presents the core arithmetic operation in Kyber.
ePrint: https://eprint.iacr.org/2022/112
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