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Voting-Based Decentralized Consensus Design for Improving the Efficiency and Security of Consortium Blockchain

机译:基于投票的分散共识设计,用于提高财团区块链的效率和安全性

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摘要

Since its emergence, blockchain technology has received great attention because of its advantages in terms of decentralization, transparency, traceability, and the ability to be tamper proof. These advantages help blockchain become a better option for fields, such as digital currency and information storage. Specifically, consortium blockchain is preferred by researchers because it provides a certain degree of access control and a supervisory mechanism. However, in real-world applications, blockchain platforms pervasively show bottlenecks, such as ultrahigh energy consumption, time inefficiency, low transaction throughput, vulnerability to targeted attacks, and poor fairness of user profits, which seriously influence the performance of this technology and thus hinder its development and adoption. In this article, we try to enhance the performance of blockchain platforms by optimizing the quality of its core module, known as the consensus algorithm. To do so, we introduce proof of assets and proof of reputation to design a voting-based decentralized consensus (VDC) algorithm for consortium blockchain. Combined with the verifiable random function (VRF), VDC realizes better fairness of user profits and time efficiency with acceptable energy consumption and without sacrificing security. The simulation results show that the proposed algorithm achieves a faster consensus process and better user fairness than existing algorithms while still maintaining a negligible energy cost and adequate security.
机译:由于其出现以来,区块链技术由于其在分散,透明度,可追溯性和篡改证明的能力方面得到了极大的关注。这些优势有助于区块链成为字段的更好选择,例如数字货币和信息存储。具体而言,研究人员优先优选联盟区块链,因为它提供了一定程度的访问控制和监督机制。然而,在现实世界应用中,区块链平台普遍显示瓶颈,例如超高能量消耗,时间效率低,交易吞吐量低,对目标攻击的脆弱性,以及用户利润的不良公正,这严重影响了这种技术的性能,从而阻碍了这种技术的性能其发展与采用。在本文中,我们试图通过优化其核心模块的质量来提高区块链平台的性能,称为共识算法。为此,我们介绍资产证明和声誉证明,以设计一个基于投票的分散共识(VDC)算法为Consortium BloctChain。结合可验证随机函数(VRF),VDC通过可接受的能量消耗实现了用户利润和时间效率的更好公平,而不会牺牲安全性。仿真结果表明,该算法达到了比现有算法更快的共识过程和更好的用户公平,同时仍然保持可忽略的能源成本和充分的安全性。

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