Asynchronous Threshold ECDSA With Batch Processing
文献类型：期刊论文
| 作者 | Zhang, Hongxin6; Xie, Guanghuan6; Zou, Xin6; Zhang, Chi6; Li, Zhuo5; Qin, Rui4 ; Xiong, Gang4; Wang, Fei-Yue1,2,3
|
| 刊名 | IEEE TRANSACTIONS ON COMPUTATIONAL SOCIAL SYSTEMS
 |
| 出版日期 | 2023-01-09 |
| 页码 | 10 |
| 关键词 | Protocols Peer-to-peer computing Batch production systems Digital signatures Blockchains Electronic mail Urban areas Blockchain crypto-asset custody secure multiparty computation (MPC) threshold signature |
| ISSN号 | 2329-924X |
| DOI | 10.1109/TCSS.2022.3230903 |
| 通讯作者 | Li, Zhuo(lizhuo@zju.edu.cn) |
| 英文摘要 | Threshold Elliptic Curve Digital Signature Algorithm (ECDSA) has attracted a lot of attention due to the wide applications of ECDSA in crypto asset. Although several variants of threshold signature protocols can provide functions, such as key generation and signing, they suffer from two shortfalls. First, these schemes only discuss a single signature computation task in a synchronous algorithm context, which is difficult to adapt to real crypto-asset applications, such as custody. Second, these schemes are computing intensive and not scalable, hence can hardly support large-scale processing operations in real life even after traditional optimization, such as multithreading, is applied. In this article, we propose an innovative computation method called asynchronous threshold ECDSA with batch processing, based on the interactive threshold signature protocols. The method provides a reliable solution for critical operational scenarios, such as threshold signing and distributed key generation (DKG) in crypto-asset custody, and can be a future reference in secure data distribution mechanisms. The performance and scalability of our methods are validated through a benchmark testing. |
| 资助项目 | Science and Technology Development Fund of Macau SAR[0050/2020/A1] |
| WOS研究方向 | Computer Science |
| 语种 | 英语 |
| WOS记录号 | WOS:000920538500001 |
| 出版者 | IEEE-INST ELECTRICAL ELECTRONICS ENGINEERS INC |
| 资助机构 | Science and Technology Development Fund of Macau SAR |
| 源URL | [http://ir.ia.ac.cn/handle/173211/51428]  |
| 专题 | 多模态人工智能系统全国重点实验室 |
| 通讯作者 | Li, Zhuo |
| 作者单位 | 1.Macau Univ Sci & Technol, Macao Inst Syst Engn, Macau 999078, Peoples R China 2.Univ Chinese Acad Sci, Sch Artificial Intelligence, Beijing 100049, Peoples R China 3.Chinese Acad Sci, Inst Automat, State Key Lab Management & Control Complex Syst, Beijing 100190, Peoples R China 4.Chinese Acad Sci, Inst Automat, State Key Lab Management & Control Complex Syst, Beijing 100190, Peoples R China 5.State St Technol Zhejiang Ltd, Global Technol Serv Dept, Hangzhou 310000, Peoples R China 6.Zhejiang Univ, State Key Lab CAD & CG, Hangzhou 310058, Peoples R China |
| 推荐引用方式 GB/T 7714 | Zhang, Hongxin,Xie, Guanghuan,Zou, Xin,et al. Asynchronous Threshold ECDSA With Batch Processing[J]. IEEE TRANSACTIONS ON COMPUTATIONAL SOCIAL SYSTEMS,2023:10. |
| APA | Zhang, Hongxin.,Xie, Guanghuan.,Zou, Xin.,Zhang, Chi.,Li, Zhuo.,...&Wang, Fei-Yue.(2023).Asynchronous Threshold ECDSA With Batch Processing.IEEE TRANSACTIONS ON COMPUTATIONAL SOCIAL SYSTEMS,10. |
| MLA | Zhang, Hongxin,et al."Asynchronous Threshold ECDSA With Batch Processing".IEEE TRANSACTIONS ON COMPUTATIONAL SOCIAL SYSTEMS (2023):10. |
入库方式： OAI收割
来源：自动化研究所
浏览0
下载0
收藏0
其他版本
除非特别说明，本系统中所有内容都受版权保护，并保留所有权利。