Xiaohu Shi, Ying Chang, Zhongqi Fu, Yu Zhang, Deyin Ma, Yi Yang
{"title":"MuSelect Chain: trusted decentralized mutual selection through blockchain","authors":"Xiaohu Shi, Ying Chang, Zhongqi Fu, Yu Zhang, Deyin Ma, Yi Yang","doi":"10.1007/s40747-023-01270-6","DOIUrl":null,"url":null,"abstract":"<p>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.</p>","PeriodicalId":10524,"journal":{"name":"Complex & Intelligent Systems","volume":"117 16","pages":""},"PeriodicalIF":5.0000,"publicationDate":"2023-11-27","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Complex & Intelligent Systems","FirstCategoryId":"94","ListUrlMain":"https://doi.org/10.1007/s40747-023-01270-6","RegionNum":2,"RegionCategory":"计算机科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q1","JCRName":"COMPUTER SCIENCE, ARTIFICIAL INTELLIGENCE","Score":null,"Total":0}
引用次数: 0
Abstract
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.
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.