High-Performance Instruction-Set Hardware Accelerator for Ring-Binary-LWE-Based Lightweight PQC

Recent advances in hardware acceleration for postquantum cryptography (PQC) have also switched to lightweight PQC. Apart from the traditional hardware design methodology, instruction-set accelerator for PQC represents a new design trend but has not been explored on lightweight PQC. To fill the research gap, in this work, we present a novel instruction-set acceleration of a ring-binary-learning-with-errors (RBLWEs)-based PQC (RBLWE-based encryption (ENC), a promising lightweight scheme) on field-programmable gate array (FPGA). Key efforts include: 1) derivation of an algorithm for the major operation of RBLWE-ENC to facilitate instruction-set acceleration; 2) development of the instruction-set accelerator, including the polynomial multiplication core designed from the derived algorithm; and 3) evaluation to showcase the efficiency of the proposed design. The proposed accelerator is efficient and complete in cryptographic operations, which can help further lightweight PQC development.

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Publication Details

Journal
IEEE Transactions on Very Large Scale Integration (VLSI) Systems
Published
2025-02-26
DOI
https://doi.org/10.1109/tvlsi.2025.3538874
Citations
2
Primary Topic
Parallel Computing and Optimization Techniques
Type
article
Field-Weighted Citation Impact
4.54
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article

High-Performance Instruction-Set Hardware Accelerator for Ring-Binary-LWE-Based Lightweight PQC

Tianyou Bao, Jiafeng Xie, Pengzhou He
2 citations
IEEE Transactions on Very Large Scale Integration (VLSI) Systems
Parallel Computing and Optimization Techniques
4.54
article

High-Performance Instruction-Set Hardware Accelerator for Ring-Binary-LWE-Based Lightweight PQC

Tianyou Bao, Jiafeng Xie, Pengzhou He
article en
2 citations

Abstract

Recent advances in hardware acceleration for postquantum cryptography (PQC) have also switched to lightweight PQC. Apart from the traditional hardware design methodology, instruction-set accelerator for PQC represents a new design trend but has not been explored on lightweight PQC. To fill the research gap, in this work, we present a novel instruction-set acceleration of a ring-binary-learning-with-errors (RBLWEs)-based PQC (RBLWE-based encryption (ENC), a promising lightweight scheme) on field-programmable gate array (FPGA). Key efforts include: 1) derivation of an algorithm for the major operation of RBLWE-ENC to facilitate instruction-set acceleration; 2) development of the instruction-set accelerator, including the polynomial multiplication core designed from the derived algorithm; and 3) evaluation to showcase the efficiency of the proposed design. The proposed accelerator is efficient and complete in cryptographic operations, which can help further lightweight PQC development.

IEEE Transactions on Very Large Scale Integration (VLSI) SystemsVol. 33(5)
Villanova University (US)
Affordable and clean energy
Openalex Percentile: Top 8%
Parallel Computing and Optimization Techniques
4.54
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High-Performance Instruction-Set Hardware Accelerator for Ring-Binary-LWE-Based Lightweight PQC — Tianyou Bao, Jiafeng Xie, et al. · IEEE Transactions on Very Large Scale Integration (VLSI) Systems (2025) | TGRS Research Map | TGRS