Financial risk analysis system and supervision based on big data and blockchain technology

IF 1.5 Q3 COMPUTER SCIENCE, INFORMATION SYSTEMS Security and Privacy Pub Date : 2023-01-01 DOI:10.1002/spy2.224
Liping Wang
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Abstract

Financial risk is closely related to the risk of finance. For both institutions and financial industry, once financial risk occurs, it will bring great harm. It is very necessary to forewarn financial risks before they occur. Through the analysis and supervision of financial risk can effectively control the occurrence of financial crisis. In the current Internet era, blockchain technology has been widely used in various aspects. In finance, in particular, blockchain has brought great convenience to the analysis and supervision of its risks. This paper aims to study financial risk analysis and related regulatory research through the relevant technologies of big data and blockchain. This paper puts forward the way of combining theory and model to study financial risk. The risk value is obtained through the study of risk‐related attributes. Experimental results show that the risk rate of financial risks under big data and blockchain technology has been reduced by 10%–15%. This degree of risk reduction is of great application in actual financial risk control. Financial security is closely related to financial risks and financial crises. Both risks and crises can be used to explain and measure the degree of security, and security can also be used to explain and measure risks and crises. The higher the degree of security, the lower the risk; conversely, the greater the risk, the lower the degree of security; a crisis is the result of a large‐scale accumulation of risks, and a crisis is serious insecurity, which is an extreme of financial security.
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基于大数据和区块链技术的金融风险分析系统与监管
财务风险与财务风险密切相关。无论是对机构还是对金融业来说,金融风险一旦发生,都会带来极大的危害。在金融风险发生之前进行预警是非常必要的。通过对金融风险的分析和监管,可以有效地控制金融危机的发生。在当前的互联网时代,区块链技术在各个方面得到了广泛的应用。特别是在金融领域,b区块链为其风险的分析和监管带来了极大的便利。本文旨在通过大数据和区块链相关技术进行金融风险分析及相关监管研究。本文提出了理论与模型相结合的方法来研究财务风险。风险值是通过对风险相关属性的研究得到的。实验结果表明,大数据和区块链技术下的金融风险风险率降低了10%-15%。这种风险降低程度在实际的财务风险控制中有很大的应用价值。金融安全与金融风险、金融危机密切相关。风险和危机都可以用来解释和衡量安全的程度,安全也可以用来解释和衡量风险和危机。安全程度越高,风险越低;反之,风险越大,安全程度越低;危机是风险大规模积累的结果,危机是严重的不安全感,是金融安全的一种极端。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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