Lazy Modular Reduction for NTT

The number theoretic transform (NTT) is a fundamental operation in cryptography, especially for lattice-based cryptographic schemes. This paper introduces LazyNTT, a novel method that reduces the number of Montgomery multiplications required in the NTT computation by replacing some of them with standard multiplication without modular reduction. This approach enhances the performance of the NTT computation and modular polynomial multiplication in lattice-based cryptographic schemes. The proposed LazyNTT can be generalized by increasing the number of standard multiplications. The experimental results show that the proposed LazyNTT improves the cycle counts of the NTT by up to 28% and 9%, respectively, by allowing two and one standard multiplications.

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Publication Details

Journal
Electronics
Published
2024-12-11
DOI
https://doi.org/10.3390/electronics13244887
Primary Topic
Mathematical Analysis and Transform Methods
Type
article
Field-Weighted Citation Impact
0.00

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article

Lazy Modular Reduction for NTT

Jong‐Seon No, Eunyoung Seo, Yongwoo Lee, Young Sik Kim et al.
Electronics
Mathematical Analysis and Transform Methods
article

Lazy Modular Reduction for NTT

Jong‐Seon No, Eunyoung Seo, Yongwoo Lee, Young Sik Kim, G. W. Kim
article en

Abstract

The number theoretic transform (NTT) is a fundamental operation in cryptography, especially for lattice-based cryptographic schemes. This paper introduces LazyNTT, a novel method that reduces the number of Montgomery multiplications required in the NTT computation by replacing some of them with standard multiplication without modular reduction. This approach enhances the performance of the NTT computation and modular polynomial multiplication in lattice-based cryptographic schemes. The proposed LazyNTT can be generalized by increasing the number of standard multiplications. The experimental results show that the proposed LazyNTT improves the cycle counts of the NTT by up to 28% and 9%, respectively, by allowing two and one standard multiplications.

ElectronicsVol. 13(24)
Seoul National University (KR), Inha University (KR), Daegu Gyeongbuk Institute of Science and Technology (KR), Seoul Media Institute of Technology (KR)
Iran Telecommunication Research Center, Ministry of Science and ICT, South Korea, Institute for Information and Communications Technology Promotion
Openalex Percentile: Top 62%
Mathematical Analysis and Transform Methods
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