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
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
收藏
页数:31
相关论文
共 138 条
[51]  
Harting Ralf-Christian, 2022, Procedia Computer Science, P2940, DOI [10.1016/j.procs.2022.09.352, 10.1016/j.procs.2022.09.352]
[52]   Banking with blockchain-ed big data [J].
Hassani, Hossein ;
Huang, Xu ;
Silva, Emmanuel .
JOURNAL OF MANAGEMENT ANALYTICS, 2018, 5 (04) :256-275
[53]   Towards green smart cities using Internet of Things and optimization algorithms: A systematic and bibliometric review [J].
He, Ping ;
Almasifar, Nina ;
Mehbodniya, Abolfazl ;
Javaheri, Danial ;
Webber, Julian L. .
SUSTAINABLE COMPUTING-INFORMATICS & SYSTEMS, 2022, 36
[54]  
Hernandez Elena, 2019, HIGHLIGHTS PRACTICAL, DOI [10.1007/978-3-030-24299-2_19, DOI 10.1007/978-3-030-24299-2_19, 10.1007/978-3-030-24299-2_19/COVER, DOI 10.1007/978-3-030-24299-2_19/COVER]
[55]   A Practical De-mixing Algorithm for Bitcoin Mixing Services [J].
Hong, Younggee ;
Kwon, Hyunsoo ;
Lee, Jihwan ;
Hur, Junbeom .
PROCEEDINGS OF THE 2ND ACM WORKSHOP ON BLOCKCHAINS, CRYPTOCURRENCIES, AND CONTRACTS (BCC'18), 2018, :15-20
[56]   Industrial espionage - A systematic literature review (SLR) [J].
Hou, Tie ;
Wang, Victoria .
COMPUTERS & SECURITY, 2020, 98
[57]   Systematically Understanding the Cyber Attack Business: A Survey [J].
Huang, Keman ;
Siegel, Michael ;
Madnick, Stuart .
ACM COMPUTING SURVEYS, 2018, 51 (04)
[58]  
Hubbard DouglasW., 2016, MEASURE ANYTHING CYB
[59]   Fuzzy logic-based DDoS attacks and network traffic anomaly detection methods: Classification, overview, and future perspectives [J].
Javaheri, Danial ;
Gorgin, Saeid ;
Lee, Jeong-A ;
Masdari, Mohammad .
INFORMATION SCIENCES, 2023, 626 :315-338
[60]   A Novel Method for Detecting Future Generations of Targeted and Metamorphic Malware Based on Genetic Algorithm [J].
Javaheri, Danial ;
Lalbakhsh, Pooia ;
Hosseinzadeh, Mehdi .
IEEE ACCESS, 2021, 9 :69951-69970