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基于云环境的稳健金融欺诈警报系统。

Robust Financial Fraud Alerting System Based in the Cloud Environment.

机构信息

Joanneum Research, DIGITAL-Institute for Information and Communication Technologies, 8010 Graz, Austria.

出版信息

Sensors (Basel). 2022 Dec 3;22(23):9461. doi: 10.3390/s22239461.

Abstract

The digitalisation of finance influenced the emergence of new technological concepts for existing user needs. Financial technology, or fintech, provides improved services for customers and new economic value for businesses. As such, fintech services require on-demand availability on a 24/7 basis. For this reason, they are often deployed in cloud environments that allow connectivity with ubiquitous devices. This allows customers to perform online transactions, which are overseen by the respective financial institutions. However, such cloud-based systems introduce new challenges for information security. On one hand, they represent attractive targets for cyberattacks. On the other, financial frauds can still go unnoticed by the financial institutions in charge. This paper contributes to both challenges by introducing the concept for a cloud-based system architecture for fraud detection and client profiling in the banking domain. Therefore, a systematic risk assessment was conducted in this context, and exploitation probabilities were inferred for multiple attack scenarios. In addition, formal verification was accomplished in order to determine the effects of successful vulnerability exploits. The consequences of such security violations are discussed, and considerations are given for improving the resilience of fintech systems.

摘要

金融的数字化推动了新技术概念的出现,以满足现有用户的需求。金融科技(fintech)为客户提供了改进的服务,并为企业创造了新的经济价值。因此,金融科技服务需要 24/7 的按需可用性。出于这个原因,它们通常部署在允许与无处不在的设备进行连接的云环境中。这使得客户能够进行在线交易,而这些交易由相关金融机构监管。然而,此类基于云的系统为信息安全带来了新的挑战。一方面,它们是网络攻击的诱人目标。另一方面,金融诈骗仍然可能被负责的金融机构忽视。本文通过引入银行领域基于云的欺诈检测和客户分析系统架构的概念,为这两个挑战做出了贡献。因此,在这种情况下进行了系统的风险评估,并推断出多种攻击场景的利用概率。此外,还完成了形式验证,以确定成功漏洞利用的影响。讨论了这些安全违规的后果,并考虑了提高金融科技系统弹性的措施。

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