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An Efficient Barrett Modular Multiplier Design for Zero-Knowledge Proof

  • Jiahao Li
  • , Qiang Liu
  • , Ray C.C. Cheung
  • , Zhaohui Guo*
  • *Corresponding author for this work

Research output: Chapters, Conference Papers, Creative and Literary WorksRGC 32 - Refereed conference paper (with host publication)peer-review

Abstract

Zero-Knowledge Proof (ZKP) has been widely applied in fields such as blockchain and privacy-preserving computing. However, the proof generation process remains computationally complex and time-consuming, which limits its further applications. Various schemes have been proposed to optimize the underlying modular operations with dedicated hardware support, but existing schemes still face low-efficiency problems. To address the problems, we propose an efficient Barrett modular multiplier design, especially for ZKP. Evaluation on a Xilinx XCVU9P FPGA shows that, compared to two existing pipelined designs, the proposed design improves throughput per slice by up to 20.4% and 49.6%, respectively, and achieves an 8.6× improvement over an existing non-pipelined design. © 2025 IEEE.
Original languageEnglish
Title of host publicationProceedings of the 2025 Asian Hardware Oriented Security and Trust Symposium  (AsianHOST)
PublisherIEEE
Number of pages4
ISBN (Electronic)9798331589240
ISBN (Print)9798331589257
DOIs
Publication statusPublished - Dec 2025
Event10th Asian Hardware Oriented Security and Trust Symposium (AsianHOST 2025) - Nanjing, China
Duration: 19 Dec 202521 Dec 2025
https://www.asianhost.org/2025/

Publication series

NameProceedings of the Asian Hardware Oriented Security and Trust Symposium, AsianHOST

Conference

Conference10th Asian Hardware Oriented Security and Trust Symposium (AsianHOST 2025)
Abbreviated titleAsianHOST2025
PlaceChina
CityNanjing
Period19/12/2521/12/25
Internet address

Funding

This work was supported in part by National Natural Science Foundation of China under Grant U21B2031.

Research Keywords

  • Barrett Modular Multiplication
  • Modular Multiplication
  • Zero-Knowledge Proof

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