Confidential Distributed Ledgers for Online Syndicated Lending

IF 5.8 2区 计算机科学 Q1 COMPUTER SCIENCE, INFORMATION SYSTEMS IEEE Transactions on Services Computing Pub Date : 2024-08-07 DOI:10.1109/TSC.2024.3440012
Xuefeng Liu;Zhe Feng;Le Wang;Wenhai Sun;Qingqi Pei;Xiaodong Lin;Huizhong Li
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Abstract

Online syndicated lending offers quick and convenient financing support to individuals, while diversifying risks by pooling funds from multiple lenders into loan projects. It has experienced explosive growth, reaching a multibillion-dollar market. Establishing transparency is essential for constructing a trusted, fair, and regulation-compliant financial collaboration model. Meanwhile, confidentiality must be maintained to protect the sensitive financial information of individual lenders. Multi-party computation (MPC) can protect the input privacy of lenders, but it cannot safeguard the sensitive information revealed by the fund flow itself. To address these challenges, we propose a new collaborative financial ledger for online syndicated lending. It leverages homomorphic encryption/commitment to enable the reuse of intermediary states without compromising privacy throughout the entire lifecycle of a loan. This system also supports efficient regulation-compliant auditing. We streamline the framework design to optimize performance and develop a prototype system. Even with a large syndicate of 100 lenders, the system still achieves low-latency performance.
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用于在线银团贷款的机密分布式账本
网上银团贷款为个人提供了快速便捷的融资支持,同时通过将多个贷款机构的资金集中到贷款项目中,分散了风险。它经历了爆炸式增长,达到了数十亿美元的市场规模。建立透明度对于构建可信、公平和符合法规的金融合作模式至关重要。同时,必须保持机密性,以保护个人贷款人的敏感财务信息。多方计算(MPC)可以保护出借人的输入隐私,但不能保护资金流本身泄露的敏感信息。为了应对这些挑战,我们提出了一种新的在线银团贷款协作财务分类账。它利用同态加密/承诺来实现中间状态的重用,而不会在贷款的整个生命周期中损害隐私。该系统还支持高效的符合法规的审计。我们简化了框架设计以优化性能并开发了原型系统。即使有100个贷款机构组成的大型银团,该系统仍然可以实现低延迟性能。
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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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