A Low-Latency Polynomial Arithmetic Unit for ML-KEM and ML-DSA Standards

Existing communication protocols based on public key cryptography (PKC) functions will no longer be secure in the quantum era. NIST has released standards for key encapsulation and digital signature mechanisms based on module lattice (ML-KEM and ML-DSA) to address this challenge. In this paper, we propose a unique, high-performance arithmetic unit capable of performing all the polynomial operations needed for ML-KEM and ML-DSA (KDA). The proposed KDA architecture includes a computational unit that supports one 4×1 NTT configuration for ML-DSA and double 4×1 NTT configurations for ML-KEM. A two-step NTT data flow and configurable memory unit are introduced to reorder and store coefficients for all operations. Moreover, we propose the re-used twiddle factor method for NTT and point-wise multiplication. We have implemented three design versions, ML-KEM standalone, ML-DSA standalone, and KDA, and compared them to the existing studies. The comparison shows that our KDA achieves superior ATP performance, improving ×1.1-×3.6.

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Publication Details

Published
2025-05-25
DOI
https://doi.org/10.1109/iscas56072.2025.11043200
Citations
1
Primary Topic
Digital Filter Design and Implementation
Type
article
Field-Weighted Citation Impact
1.49
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article

A Low-Latency Polynomial Arithmetic Unit for ML-KEM and ML-DSA Standards

Trong-Thuc Hoang, Phuc-Phan Duong, Cong‐Kha Pham, Trong-Hung Nguyen et al.
1 citations
Digital Filter Design and Implementation
1.49
article

A Low-Latency Polynomial Arithmetic Unit for ML-KEM and ML-DSA Standards

Trong-Thuc Hoang, Phuc-Phan Duong, Cong‐Kha Pham, Trong-Hung Nguyen, Duc-Thuan Dam
article en
1 citations

Abstract

Existing communication protocols based on public key cryptography (PKC) functions will no longer be secure in the quantum era. NIST has released standards for key encapsulation and digital signature mechanisms based on module lattice (ML-KEM and ML-DSA) to address this challenge. In this paper, we propose a unique, high-performance arithmetic unit capable of performing all the polynomial operations needed for ML-KEM and ML-DSA (KDA). The proposed KDA architecture includes a computational unit that supports one 4×1 NTT configuration for ML-DSA and double 4×1 NTT configurations for ML-KEM. A two-step NTT data flow and configurable memory unit are introduced to reorder and store coefficients for all operations. Moreover, we propose the re-used twiddle factor method for NTT and point-wise multiplication. We have implemented three design versions, ML-KEM standalone, ML-DSA standalone, and KDA, and compared them to the existing studies. The comparison shows that our KDA achieves superior ATP performance, improving ×1.1-×3.6.

University of Electro-Communications (JP)
Openalex Percentile: Top 17%
Digital Filter Design and Implementation
1.49
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