Cybersecurity threats in FinTech: A systematic review
December 04, 2023 Β· Declared Dead Β· π Expert systems with applications
"No code URL or promise found in abstract"
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Authors
Danial Javaheri, Mahdi Fahmideh, Hassan Chizari, Pooia Lalbakhsh, Junbeom Hur
arXiv ID
2312.01752
Category
cs.CR: Cryptography & Security
Cross-listed
cs.AI
Citations
52
Venue
Expert systems with applications
Last Checked
5 months ago
Abstract
The rapid evolution of the Smart-everything movement and Artificial Intelligence (AI) advancements have given rise to sophisticated cyber threats that traditional methods cannot counteract. Cyber threats are extremely critical in financial technology (FinTech) as a data-centric sector expected to provide 24/7 services. This paper introduces a novel and refined taxonomy of security threats in FinTech and conducts a comprehensive systematic review of defensive strategies. Through PRISMA methodology applied to 74 selected studies and topic modeling, we identified 11 central cyber threats, with 43 papers detailing them, and pinpointed 9 corresponding defense strategies, as covered in 31 papers. This in-depth analysis offers invaluable insights for stakeholders ranging from banks and enterprises to global governmental bodies, highlighting both the current challenges in FinTech and effective countermeasures, as well as directions for future research.
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