MuSelect Chain:通过区块链进行可信的去中心化相互选择

IF 5 2区 计算机科学 Q1 COMPUTER SCIENCE, ARTIFICIAL INTELLIGENCE
Xiaohu Shi, Ying Chang, Zhongqi Fu, Yu Zhang, Deyin Ma, Yi Yang
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引用次数: 0

摘要

相互选择(两类对象相互选择的过程)经常出现在实际应用中,例如金融信贷。考虑到人们对可信度的要求越来越高,传统的人工方法往往不能满足相应的安全性和透明度要求。区块链技术具有去中心化、可追溯、透明、防篡改等特点,是解决上述问题的潜在方法。然而,现有的共识算法在效率、容错性、安全性等方面存在不足,不适合在互选场景下直接实现。在本研究中,建立了一个互选操作系统,表示为“互选链”。首先,通过智能合约开发区块链上的机构信息初始化方法,确保链上存储信息的真实性。其次,设计了互选关系确认算法,保证了互选过程的自动化可靠性。其次,考虑到参与网络的节点的特点,提出了一种称为“领导力证明”的共识算法,以确保链上不同节点存储的信息的一致性。随后,建立了以提高MuSelect Chain效率为核心的激励机制。最后,构建了一个MuSelect Chain原型。仿真结果证明了所提出的MuSelect链具有较强的容错性和安全性。
本文章由计算机程序翻译,如有差异,请以英文原文为准。

MuSelect Chain: trusted decentralized mutual selection through blockchain

MuSelect Chain: trusted decentralized mutual selection through blockchain

Mutual selection (the process of two types of objects choosing each other) often occurs in practical applications, such as those concerning financial credit. Considering the increasing demands for credibility, traditional artificial methods often cannot satisfy the corresponding requirements for security and transparency. Blockchain technology has the characteristics of decentralization, traceability, transparency, and being tamper-resistant, making it a potential method for solving the abovementioned problems. However, the existing consensus algorithms have some shortcomings in terms of efficiency, fault tolerance, security, and other relevant aspects, rendering them unsuitable for direct implementation in a mutual selection scenario. In this study, a system for mutual selection operations, denoted as “MuSelect Chain," is established. First, the institution information initialization method on blockchain is developed via a smart contract, ensuring the authenticity of information stored on the chain. Second, a mutual selection relationship confirmation algorithm is designed to ensure a reliable automated mutual selection process. Next, considering the characteristics of nodes participating in the network, a consensus algorithm called “Proof-of-Leadership” is proposed to ensure consistency of information stored by different nodes on the chain. Subsequently, an incentive mechanism is established with the focus on improving MuSelect Chain efficiency. Finally, a MuSelect Chain prototype is built. Simulation results prove that the proposed MuSelect Chain is secure with strong fault tolerance.

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来源期刊
Complex & Intelligent Systems
Complex & Intelligent Systems COMPUTER SCIENCE, ARTIFICIAL INTELLIGENCE-
CiteScore
9.60
自引率
10.30%
发文量
297
期刊介绍: Complex & Intelligent Systems aims to provide a forum for presenting and discussing novel approaches, tools and techniques meant for attaining a cross-fertilization between the broad fields of complex systems, computational simulation, and intelligent analytics and visualization. The transdisciplinary research that the journal focuses on will expand the boundaries of our understanding by investigating the principles and processes that underlie many of the most profound problems facing society today.
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