Efficient Hardware Implementation of the Lightweight CRYSTALS-Kyber

Quantum computing raises questions about the security of data encrypted using modern methods. Hence, the National Institute of Standards and Technology (NIST) has undertaken standardization of post-quantum cryptography (PQC) algorithms to defend against attacks from both classical and quantum computers. Following four rounds of evaluation, CRYSTALS-Kyber has been selected for standardization. In this paper, we present an efficient hardware architecture of CRYSTALS-Kyber for resource-constrained IoT devices. Firstly, we propose a compact hash module for CRYSTALS-Kyber. A single buffer is designed to perform padding, hashing, and holding data. Hence, using large FIFOs for data input/output is eliminated. Then, we propose a novel non-memory-based iterative number theoretic transform (NMI-NTT) architecture. Finally, the data flow between modules is optimized to improve parallelization and execution time. Implementation results on an Artix-7 FPGA show that our design consumes minimal hardware resources compared to the designs reported to date, corresponding to 5487 LUTs, 3426 FFs, 1548 SLICEs, 3.5 BRAMs, and 2 DSPs. Our design computes key generation, encapsulation, and decapsulation phases in 3.3/4.5/6.1 K-cycles for Kyber512, 5.6/7.1/9.2 K-cycles for Kyber768, and 8.5/10.1/12.9 K-cycles for Kyber1024, with 185MHz operating frequency. Our area-time-product (ATP) performance outperforms other designs.

Authors

Institutions

Publication Details

Journal
IEEE Transactions on Circuits and Systems I Regular Papers
Published
2024-08-20
DOI
https://doi.org/10.1109/tcsi.2024.3443238
Citations
18
Primary Topic
Parallel Computing and Optimization Techniques
Type
article
Field-Weighted Citation Impact
8.80
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Efficient Hardware Implementation of the Lightweight CRYSTALS-Kyber

Trong-Thuc Hoang, Phuc-Phan Duong, Cong‐Kha Pham, Binh Kieu-Do-Nguyen et al.
18 citations
IEEE Transactions on Circuits and Systems I Regular Papers
Parallel Computing and Optimization Techniques
8.80
article

Efficient Hardware Implementation of the Lightweight CRYSTALS-Kyber

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

Abstract

Quantum computing raises questions about the security of data encrypted using modern methods. Hence, the National Institute of Standards and Technology (NIST) has undertaken standardization of post-quantum cryptography (PQC) algorithms to defend against attacks from both classical and quantum computers. Following four rounds of evaluation, CRYSTALS-Kyber has been selected for standardization. In this paper, we present an efficient hardware architecture of CRYSTALS-Kyber for resource-constrained IoT devices. Firstly, we propose a compact hash module for CRYSTALS-Kyber. A single buffer is designed to perform padding, hashing, and holding data. Hence, using large FIFOs for data input/output is eliminated. Then, we propose a novel non-memory-based iterative number theoretic transform (NMI-NTT) architecture. Finally, the data flow between modules is optimized to improve parallelization and execution time. Implementation results on an Artix-7 FPGA show that our design consumes minimal hardware resources compared to the designs reported to date, corresponding to 5487 LUTs, 3426 FFs, 1548 SLICEs, 3.5 BRAMs, and 2 DSPs. Our design computes key generation, encapsulation, and decapsulation phases in 3.3/4.5/6.1 K-cycles for Kyber512, 5.6/7.1/9.2 K-cycles for Kyber768, and 8.5/10.1/12.9 K-cycles for Kyber1024, with 185MHz operating frequency. Our area-time-product (ATP) performance outperforms other designs.

IEEE Transactions on Circuits and Systems I Regular PapersVol. 72(2)
University of Electro-Communications (JP)
Affordable and clean energy
Openalex Percentile: Top 1%
Parallel Computing and Optimization Techniques
8.80
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.