Proof of Random Leader: A Fast and Manipulation-Resistant Proof-of-Authority Consensus Algorithm for Permissioned Blockchains Using Verifiable Random Function

IF 5.5 2区 计算机科学 Q1 COMPUTER SCIENCE, INFORMATION SYSTEMS
Md. Mainul Islam;Mpyana Mwamba Merlec;Hoh Peter IN
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引用次数: 0

Abstract

Proof of Authority (PoA) is a widely adopted consensus algorithm for permissioned blockchain networks, where a group of trusted entities governs the network. PoA is known for achieving rapid consensus with minimal computational and energy requirements. However, existing PoA variants such as Aura and Clique suffer from low transaction throughput in high workload conditions and provide limited randomness in leader selection. They are also vulnerable to time and order manipulation attacks. To overcome these limitations, this paper introduces a novel PoA-based consensus algorithm called Proof of Random Leader (PoRL), which utilizes a verifiable random function to enhance transaction throughput, improve scalability, and ensure fair and unpredictable leader selection. The proposed PoRL algorithm was implemented in Python and evaluated using a network of six consensus nodes with varying computational capabilities. The performance of PoRL was assessed based on key metrics, including security, consistency, availability, fault tolerance, block time, and transaction throughput. Experimental results indicate that PoRL achieves lower consensus times and higher transaction throughput compared to Aura and Clique, making it a more efficient solution for permissioned blockchain networks. The findings of this study provide valuable insights for blockchain practitioners in selecting the most suitable PoA implementation based on their specific network requirements.
随机领导者的证明:使用可验证随机函数的许可区块链的快速和抗操纵的权威证明共识算法
权威证明(PoA)是一种广泛采用的共识算法,用于受许可的区块链网络,其中一组受信任的实体管理网络。PoA以以最小的计算和能量需求实现快速共识而闻名。然而,现有的PoA变体(如Aura和Clique)在高工作负载条件下的事务吞吐量较低,并且在leader选择中提供有限的随机性。它们也容易受到时间和顺序操纵攻击。为了克服这些限制,本文引入了一种新的基于poa的共识算法,称为随机领导者证明(PoRL),该算法利用可验证的随机函数来提高交易吞吐量,提高可扩展性,并确保公平和不可预测的领导者选择。提出的PoRL算法在Python中实现,并使用具有不同计算能力的六个共识节点的网络进行评估。PoRL的性能基于关键指标进行评估,包括安全性、一致性、可用性、容错性、块时间和事务吞吐量。实验结果表明,与Aura和Clique相比,PoRL实现了更低的共识时间和更高的事务吞吐量,使其成为一种更有效的许可区块链网络解决方案。本研究的结果为区块链从业者根据其特定的网络需求选择最合适的PoA实现提供了有价值的见解。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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来源期刊
IEEE Transactions on Services Computing
IEEE Transactions on Services Computing COMPUTER SCIENCE, INFORMATION SYSTEMS-COMPUTER SCIENCE, SOFTWARE ENGINEERING
CiteScore
11.50
自引率
6.20%
发文量
278
审稿时长
>12 weeks
期刊介绍: IEEE Transactions on Services Computing encompasses the computing and software aspects of the science and technology of services innovation research and development. It places emphasis on algorithmic, mathematical, statistical, and computational methods central to services computing. Topics covered include Service Oriented Architecture, Web Services, Business Process Integration, Solution Performance Management, and Services Operations and Management. The transactions address mathematical foundations, security, privacy, agreement, contract, discovery, negotiation, collaboration, and quality of service for web services. It also covers areas like composite web service creation, business and scientific applications, standards, utility models, business process modeling, integration, collaboration, and more in the realm of Services Computing.
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