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 language | English |
|---|---|
| Title of host publication | Proceedings of the 2025 Asian Hardware Oriented Security and Trust Symposium (AsianHOST) |
| Publisher | IEEE |
| Number of pages | 4 |
| ISBN (Electronic) | 9798331589240 |
| ISBN (Print) | 9798331589257 |
| DOIs | |
| Publication status | Published - Dec 2025 |
| Event | 10th Asian Hardware Oriented Security and Trust Symposium (AsianHOST 2025) - Nanjing, China Duration: 19 Dec 2025 → 21 Dec 2025 https://www.asianhost.org/2025/ |
Publication series
| Name | Proceedings of the Asian Hardware Oriented Security and Trust Symposium, AsianHOST |
|---|
Conference
| Conference | 10th Asian Hardware Oriented Security and Trust Symposium (AsianHOST 2025) |
|---|---|
| Abbreviated title | AsianHOST2025 |
| Place | China |
| City | Nanjing |
| Period | 19/12/25 → 21/12/25 |
| 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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