Cybersecurity threats in FinTech: A systematic review

被引：15

作者：

Javaheri, Danial ^{[1
]}

Fahmideh, Mahdi ^{[2
]}

Chizari, Hassan ^{[3
]}

Lalbakhsh, Pooia ^{[4
]}

Hur, Junbeom ^{[1
]}

机构：

[1] Korea Univ, Dept Comp Sci & Engn, Seoul 02841, South Korea

[2] Univ Southern Queensland, Sch Business, Springfield, Qld 4300, Australia

[3] Univ Gloucestershire, Sch Business Comp & Social Sci, Pk Campus, Gloucester GL50 2RH, England

[4] Monash Univ, Fac Informat Technol, Dept Data Sci & Artificial Intelligence, Clayton, Vic 3168, Australia

来源：

EXPERT SYSTEMS WITH APPLICATIONS | 2024年 / 241卷

基金：

新加坡国家研究基金会;

关键词：

Banking trojan; Business sustainability; Cyber-attacks; Data privacy; Financial technology; BANKING; RANSOMWARE; BLOCKCHAIN; ATTACKS; TECHNOLOGY; INNOVATION; RISKS;

D O I：

10.1016/j.eswa.2023.122697

中图分类号：

TP18 [人工智能理论];

学科分类号：

081104 ; 0812 ; 0835 ; 1405 ;

摘要：

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.

引用

页数：31

共 138 条

[71] Investigating perceptions about risk of data breaches in financial institutions: A routine activity-approach [J].

Lee, Jaeung ;

de Guzman, Melchor C. ;

Wang, Jingguo ;

Gupta, Manish ;

Rao, H. Raghav .

COMPUTERS & SECURITY, 2022, 121

[72]

Lee N., 2015, Cyber Attacks, Prevention, and Countermeasures BT - Counterterrorism and Cybersecurity: Total Information Awareness, P249, DOI DOI 10.1007/978-3-319-17244-6_10

[73]

Lee RobertM., 2016, ANAL CYBER ATTACK UK

[74] Blockchain from the information systems perspective: Literature review, synthesis, and directions for future research [J].

Lei, Chun Fong ;

Ngai, Eric W. T. .

INFORMATION & MANAGEMENT, 2023, 60 (07)

[75] Event-based distributed state estimation for linear systems under unknown input and false data injection attack [J].

Li, Li ;

Yang, Huan ;

Xia, Yuanqing ;

Yang, Hongjiu .

SIGNAL PROCESSING, 2020, 170

[76] Aligning social concerns with information system security: A fundamental ontology for social engineering [J].

Li, Tong ;

Wang, Xiaowei ;

Ni, Yeming .

INFORMATION SYSTEMS, 2022, 104

[77] A Review of False Data Injection Attacks Against Modern Power Systems [J].

Liang, Gaoqi ;

Zhao, Junhua ;

Luo, Fengji ;

Weller, Steven R. ;

Dong, Zhao Yang .

IEEE TRANSACTIONS ON SMART GRID, 2017, 8 (04) :1630-1638

[78]

Liberati A, 2009, BMJ-BRIT MED J, V339, DOI [10.1371/journal.pmed.1000097, 10.1136/bmj.i4086, 10.1136/bmj.b2700, 10.1016/j.ijsu.2010.07.299, 10.1186/2046-4053-4-1, 10.1016/j.ijsu.2010.02.007, 10.1136/bmj.b2535]

[79] Generating scholarly content with ChatGPT: ethical challenges for medical publishing [J].

Liebrenz, Michael ;

Schleifer, Roman ;

Buadze, Anna ;

Bhugra, Dinesh ;

Smith, Alexander .

LANCET DIGITAL HEALTH, 2023, 5 (03) :E105-E106

[80] Tools and Techniques for Collection and Analysis of Internet-of-Things malware: A systematic state-of-art review [J].

Madan, Sanjay ;

Sofat, Sanjeev ;

Bansal, Divya .

JOURNAL OF KING SAUD UNIVERSITY-COMPUTER AND INFORMATION SCIENCES, 2022, 34 (10) :9867-9888

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