区块链不可知论协议:对最新技术的分析

IF 28 1区 计算机科学 Q1 COMPUTER SCIENCE, THEORY & METHODS
Alessandro Bigiotti, Leonardo Mostarda, Alfredo Navarra, Andrea Pinna, Davide Sestili, Roberto Tonelli, Matteo Vaccargiu
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引用次数: 0

摘要

区块链是一项相对较新的技术,已经引起了学术界和工业界的极大兴趣。鉴于区块链的特点,区块链间的通信问题已经成为一个热门话题。为了在不同的区块链之间转移加密货币或代币,已经提出了许多解决这个问题的方法。然而,为了使区块链得到广泛应用,必须将链间通信扩展到通用消息。在本文中,我们考虑了一些旨在概括交流可能性的方法。这些方法被称为不可知论协议。我们的主要贡献在于为不可知论区块链协议的开发提供了一些新兴的标准,说明了一些使用它们的项目并理解了它们的特性。我们分析了这些协议是如何工作的,它们是如何不可知的,以及它们在多大程度上有助于概括区块链之间的跨链通信问题。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Blockchain Agnostic Protocols: An Analysis of the State of the Art
Blockchain is a relatively new technology that has attracted great interest in academia and industry. Given the characteristics of blockchains, the problem of inter-chain communication has become a hot topic. Numerous approaches to the problem have been proposed in order to transfer cryptocurrencies or tokens between different blockchains. However, to make the blockchain widely used, inter-chain communication must be extended to generic messages. In this paper we consider some approaches to the problem that aim at generalising the possibilities of communication. These approaches are called agnostic protocols. Our main contribution consists in presenting some emerging standards for the development of agnostic blockchain protocols, illustrating some projects that use them and understanding their peculiarities. We analyse how these protocols work, how agnostic they are and how much they lend themselves to generalising the problem of cross-chain communication between blockchains.
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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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