Cybersecurity threats in FinTech: A systematic review
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Abstract (arXiv)
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.
Key facts. No citing papers in the map yet (data through 7 Oct 2026). Builds on 6 of its 136 references that are in the map. First posted on arXiv 4 Dec 2023.
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6 of 136 references.
References · 6
- 2020The Creation and Detection of Deepfakes: A Surveycited by 246
- 2019A Survey on Ethereum Systems Security: Vulnerabilities, Attacks and Defensescited by 25
- 2020Deep Learning for Insider Threat Detection: Review, Challenges and Opportunitiescited by 18
- 2021Engineering Blockchain Based Software Systems: Foundations, Survey, and Future Directionscited by 1
- 2022EVHA: Explainable Vision System for Hardware Testing and Assurance -- An Overviewcited by 1
- 2022Defending Root DNS Servers Against DDoS Using Layered Defensescited by 1
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