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arXiv 2303.12944cs.CRcs.AI
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使用联邦学习和区块链来保护金融服务

Use of Federated Learning and Blockchain towards Securing Financial Services

Howard University(霍华德大学);University of Kalyani(卡利亚尼大学)

Pushpita Chatterjee, Debashis Das, Danda B Rawat

摘要:

最近几天,一些现有和新的网络攻击的扩散对金融服务的稳定性构成了不言而喻的威胁。很难预测可能引发严重金融危机的攻击的性质。金融服务前所未有的数字化转型在COVID-19疫情期间加速,目前仍在进行中。攻击者正在利用这一转变,对金融稳定和完整性构成新的全球威胁。许多大型组织正在从集中式财务(CeFi)转向分散式财务(DeFi),因为分散式财务具有许多优势。区块链可以对金融部门的可信度,安全性,可访问性,成本效益和开放性产生重大而深远的影响。本文深入探讨了区块链和联邦学习(FL)如何在金融服务中使用。它首先概述了这两个用例的最新发展。本文探讨和讨论了现有的金融服务漏洞,潜在的威胁,以及随之而来的风险。因此,我们解释了金融服务中可以解决的问题,以及区块链和FL如何帮助解决这些问题。这些问题包括数据保护、存储优化和在金融服务中赚更多的钱。我们研究了许多支持区块链的FL方法,并提出了一些可能的解决方案,可用于金融服务,以解决成本效益、自动化和安全控制等挑战。最后,我们指出了一些未来的研究方向。

英文摘要:

In recent days, the proliferation of several existing and new cyber-attacks pose an axiomatic threat to the stability of financial services. It is hard to predict the nature of attacks that can trigger a serious financial crisis. The unprecedented digital transformation to financial services has been accelerated during the COVID-19 pandemic and it is still ongoing. Attackers are taking advantage of this transformation and pose a new global threat to financial stability and integrity. Many large organizations are switching from centralized finance (CeFi) to decentralized finance (DeFi) because decentralized finance has many advantages. Blockchain can bring big and far-reaching effects on the trustworthiness, safety, accessibility, cost-effectiveness, and openness of the financial sector. The present paper gives an in-depth look at how blockchain and federated learning (FL) are used in financial services. It starts with an overview of recent developments in both use cases. This paper explores and discusses existing financial service vulnerabilities, potential threats, and consequent risks. So, we explain the problems that can be fixed in financial services and how blockchain and FL could help solve them. These problems include data protection, storage optimization, and making more money in financial services. We looked at many blockchain-enabled FL methods and came up with some possible solutions that could be used in financial services to solve several challenges like cost-effectiveness, automation, and security control. Finally, we point out some future directions at the end of this study.

机构、总结、中文摘要均由AI分析而来,可能存在错误,请以论文正文为准。

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