区块链中有效共识的信任模型

IF 1.1 Q4 COMPUTER SCIENCE, INFORMATION SYSTEMS
R. Shalini, R. Manoharan
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引用次数: 0

摘要

. 区块链技术是一场以比特币为替代货币的新经济革命。除了经济方面,区块链的技术能力,如分布式计算、记录保存、交易的不可恢复性、可靠性等,都被各种现实世界的应用所利用。区块链是一个不断增长的记录池,称为使用安全程序链接的块。它通常由分布式网络技术中的一组节点进行管理,该技术集成了分布式账本、安全性和共识算法等技术,以确保可靠性和不变性。在区块链中,访问权限由一组称为矿工的节点决定,这些节点运行共识算法,在身份验证后访问并提交交易到块中。然而,在现有的区块链中,没有机制来确保矿工的信任和鲁棒性,并消除运行共识算法的恶意矿工。因此,本文提出了一种信任模型,旨在从挖掘过程中消除不可信节点,以增强区块链的可靠性和安全性。此外,在超级账本框架下,对所提出的信任模型进行了交易率、效率和可扩展性分析,以确保其鲁棒性。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Trust Model for Effective Consensus in Blockchain
. Abstract Blockchain technology is a revolution started as a new economy with an alternative currency namely Bitcoin. Besides the economical aspect, the technological capabilities of Blockchain such as distributed computing, record keeping, irrecoverability of transactions, reliability and etc., are harnessed by variety of real-world applications. Blockchain is a rising pool of records known as blocks linked using security procedure. It is typically managed by a group of nodes in a distributed network technology which integrates technologies such as distributed ledger, security and consensus algorithm to ensure reliability and immutability. In Blockchain, the access privileges are determined by a set of nodes called miners, which run the consensus algorithm to access and submit transactions in to the block after authentication. However, in the existing Blockchain, there is no mechanism to ensure the trust and robustness of the miners and eliminate the malicious miners which runs the consensus algorithm. Therefore, this paper proposes a trust model with an objective of eliminating untrusted nodes from the mining process to enhance the reliability and security of the Blockchain. Further, the proposed trust model is suitably analysed for transaction rate, efficiency and scalability with Hyper Ledger framework to ensure the robustness.
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来源期刊
EAI Endorsed Transactions on Scalable Information Systems
EAI Endorsed Transactions on Scalable Information Systems COMPUTER SCIENCE, INFORMATION SYSTEMS-
CiteScore
2.80
自引率
15.40%
发文量
49
审稿时长
10 weeks
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