The Analysis of Financial Network Transaction Risk Control Based on Blockchain and Edge Computing Technology
研究了结合区块链和边缘计算技术来提升金融网络交易安全性，提出了匿名存储协议和可信数据同步系统，实验验证了其低延迟和高安全性，适用于供应链金融领域。
This work explores security vulnerabilities within financial network transactions, specifically addressing the challenges associated with utilizing blockchain technology (BCT) on mobile terminal devices. Firstly, the definition and functions of Supply Chain Finance (SCF) are introduced, and a theoretical framework for risk mitigation of financial network transactions is established, combining BCT with Edge Computing (EC). Secondly, an anonymous storage protocol for financial network transaction data and a trusted data synchronization system based on BCT and EC are proposed. These two methods are anticipated to yield advancements in bolstering the security landscape of financial network transactions to a notable extent. At the same time, it shows the application of risk control of financial network transactions based on EC and BCT in the SCF field. Finally, the experimental design validates the protocol's efficacy and the system's operational capabilities. The experimental findings unveil that the Round-Trip Time (RTT) for the system workflow remains under 215ms, exhibiting negligible latency within the system. Remarkably, the anonymous storage protocol applied to financial network transaction data substantially mitigates the temporal overhead associated with encrypting and transmitting information. Besides, it can effectively resist external attacks, EC device attacks, Man-in-the-Middle attacks, and replay attacks, with high security. On the Desktop, the average system initialization time is noted as 124.65ms, surpassing the efficiency of Raspberry Pi's 148.81ms. Regarding data synchronization, the Desktop exhibits relative speed, with an average time of 55.68ms compared to 67.54ms for the Raspberry Pi. In addition, multi-node collaboration on the Edge Computing Platform (ECP) shows a gradual increase in average time in edge environments, while rsync presents higher efficiency in incremental file and folder synchronization experiments. Consequently, in financial network transactions, using rsync for data synchronization is recognized for enhancing efficiency, while leveraging ECP multi-node collaboration in an EC environment effectively supports task execution. This innovation is particularly applicable to data synchronization in management technologies, offering potential value for improving the security and efficiency of financial network transactions. The primary contribution of this work lies in the innovative combination of information technology (IT) to propose an effective method to enhance the security of financial network transactions. Furthermore, these methods find practical application in the SCF domain, which provides practical support for improving the security and efficiency of financial transactions. This work contributes valuable ideas and methodologies for risk control management and the SCF field of financial network transactions.