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Asynchronous Threshold ECDSA With Batch Processing | |
Zhang, Hongxin1; Xie, Guanghuan1; Zou, Xin1; Zhang, Chi1; Li, Zhuo2; Qin, Rui3![]() ![]() ![]() | |
Source Publication | IEEE TRANSACTIONS ON COMPUTATIONAL SOCIAL SYSTEMS
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ISSN | 2329-924X |
2023-01-09 | |
Pages | 10 |
Corresponding Author | Li, Zhuo(lizhuo@zju.edu.cn) |
Abstract | 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. |
Keyword | 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 |
DOI | 10.1109/TCSS.2022.3230903 |
Indexed By | SCI |
Language | 英语 |
Funding Project | Science and Technology Development Fund of Macau SAR[0050/2020/A1] |
Funding Organization | Science and Technology Development Fund of Macau SAR |
WOS Research Area | Computer Science |
WOS Subject | Computer Science, Cybernetics ; Computer Science, Information Systems |
WOS ID | WOS:000920538500001 |
Publisher | IEEE-INST ELECTRICAL ELECTRONICS ENGINEERS INC |
Citation statistics | |
Document Type | 期刊论文 |
Identifier | http://ir.ia.ac.cn/handle/173211/51429 |
Collection | 多模态人工智能系统全国重点实验室 |
Corresponding Author | Li, Zhuo |
Affiliation | 1.Zhejiang Univ, State Key Lab CAD & CG, Hangzhou 310058, Peoples R China 2.State St Technol Zhejiang Ltd, Global Technol Serv Dept, Hangzhou 310000, 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.Univ Chinese Acad Sci, Sch Artificial Intelligence, Beijing 100049, Peoples R China 6.Macau Univ Sci & Technol, Macao Inst Syst Engn, Macau 999078, Peoples R China |
Recommended Citation 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. |
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