SPRA: Scalable policy-based regulatory architecture for blockchain transactions

IET Blockchain Pub Date : 2023-07-25 DOI:10.1049/blc2.12037
Chuntang Yu, Yongzhao Zhan, Pujie Jing, Xiangmei Song
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Abstract

Implementing effective regulation of blockchain transactions has become a research hotspot in recent years. However, most of the current regulatory schemes are customized for specific blockchain applications and lack versatility and scalability. Meanwhile, these schemes cannot guarantee fairness due to the non-disclosure of regulatory policies and regulatory processes. To address these issues, a scalable policy-based regulatory architecture (SPRA) is proposed for blockchain transactions that separates regulation and application to provide sufficient scalability. SPRA is a four-layer model (permission layer, regulation layer, bridge layer, and business layer). A regulatory policy description language (XRPL) is designed to define the regulatory rules and specifications for interoperability between the layers. A decentralized jury mechanism (JuryBC) based on the Shamir threshold secret sharing algorithm and Pedersen commitment is proposed at the regulation layer to avoid regulatory arbitrariness and unfairness. We also construct a secure and efficient regulatory data sharing scheme (RDShare) at the business layer using an attribute-based encryption algorithm. The key parameters in both JuryBC and RDShare can be specified in the regulatory policy to suit different application scenarios. Finally, the security of the architecture is analyzed and the feasibility and scalability of the architecture through simulation experiments are demonstrated.

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SPRA:可扩展的基于策略的区块链交易监管架构
对区块链交易实施有效监管已成为近年来的研究热点。然而,目前大多数监管方案都是针对特定的区块链应用程序定制的,缺乏通用性和可扩展性。同时,由于监管政策和监管流程的不公开,这些方案无法保证公平性。为了解决这些问题,提出了一种可扩展的基于策略的监管架构(SPRA),用于区块链交易,将监管和应用分开,以提供足够的可扩展性。SPRA是一个四层模型(权限层、监管层、桥接层和业务层)。监管策略描述语言(XRPL)用于定义各层之间互操作性的监管规则和规范。在监管层提出了一种基于Shamir阈值秘密共享算法和Pedersen承诺的去中心化陪审团机制(JuryBC),以避免监管的随随性和不公平性。我们还使用基于属性的加密算法在业务层构建了一个安全高效的监管数据共享方案(RDShare)。JuryBC和RDShare中的关键参数都可以在监管策略中指定,以适应不同的应用场景。最后,对该体系结构的安全性进行了分析,并通过仿真实验验证了该体系结构的可行性和可扩展性。
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