基于脚本和无脚本支付通道网络中的密码原语:综述

IF 23.8 1区 计算机科学 Q1 COMPUTER SCIENCE, THEORY & METHODS
Xiuyuan Chen, Junzuo Lai, Chao Lin, Xinyi Huang, Debiao He
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引用次数: 0

摘要

支付通道网络(pcn)是区块链可扩展性的关键,可促进任意两个用户之间的多次链下支付。他们利用脚本来定义和执行各种区块链中的支付条件,但这带来了隐私、效率和兼容性方面的挑战。为了克服这些问题,scriptless巧妙地将支付条件嵌入到数字签名中,而不是复杂的脚本。密码学有效地保障了基于脚本和无脚本的pcn中交易的构建和发布。虽然有一些调查分析了PCN协议,但只有少数人讨论了它们的底层脚本语言,甚至没有人探讨所涉及的密码学。本调查是第一个从脚本角度全面概述pcn中的密码学的调查,填补了现有的知识空白。我们的分析提供了基于脚本和无脚本协议及其共存的完整图景。然后,我们将探索这两个类别中的高级加密原语,首次系统地研究它们,并在原子交换中演示它们的实例化。最后,我们研究了大量的相关调查,并提出了未来的展望。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Cryptographic Primitives in Script-based and Scriptless Payment Channel Networks: A Survey
Payment Channel Networks (PCNs), pivotal for blockchain scalability, facilitate multiple off-chain payments between any two users. They utilize scripts to define and execute payment conditions in various blockchains, but this poses privacy, efficiency, and compatibility challenges. To overcome these, scriptless cleverly embeds payment conditions into digital signatures instead of complex scripts. Cryptography effectively safeguards the construction and publication of transactions in script-based and scriptless PCNs. Although several surveys analyze PCN protocols, only a few discuss their underlying scripting languages and even none explore the cryptography involved. This survey is the first to comprehensively overview cryptography in PCNs from scripting perspectives, filling the existing knowledge void. Our analysis offers a complete picture of script-based and scriptless protocols and their coexistence. We then explore advanced cryptographic primitives in both categories, systematically studying these for the first time, and demonstrate their instantiations in atomic swaps. Finally, we research vast related surveys and provide a future-oriented outlook.
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来源期刊
ACM Computing Surveys
ACM Computing Surveys 工程技术-计算机:理论方法
CiteScore
33.20
自引率
0.60%
发文量
372
审稿时长
12 months
期刊介绍: ACM Computing Surveys is an academic journal that focuses on publishing surveys and tutorials on various areas of computing research and practice. The journal aims to provide comprehensive and easily understandable articles that guide readers through the literature and help them understand topics outside their specialties. In terms of impact, CSUR has a high reputation with a 2022 Impact Factor of 16.6. It is ranked 3rd out of 111 journals in the field of Computer Science Theory & Methods. ACM Computing Surveys is indexed and abstracted in various services, including AI2 Semantic Scholar, Baidu, Clarivate/ISI: JCR, CNKI, DeepDyve, DTU, EBSCO: EDS/HOST, and IET Inspec, among others.
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