Cybersecurity threats in FinTech: A systematic review

D Javaheri, M Fahmideh, H Chizari, P Lalbakhsh… - Expert Systems with …, 2024 - Elsevier
The rapid evolution of the Smart-everything movement and Artificial Intelligence (AI)
advancements have given rise to sophisticated cyber threats that traditional methods cannot …

Fraud detection and prevention in e-commerce: A systematic literature review

VF Rodrigues, LM Policarpo, DE da Silveira… - Electronic Commerce …, 2022 - Elsevier
The high volume of money involved in e-commerce transactions draws the attention of
fraudsters, which makes fraud prevention and detection techniques of high importance …

Artificial intelligence adoption in the banking industry: Current state and future prospect

M Lazo, R Ebardo - Journal of Innovation Management, 2023 - journals.fe.up.pt
AI adoption in the banking industry is a necessity not only to gain a competitive advantage
within the industry but more importantly to defend the bank versus technological disruptors …

A flow-based approach for Trickbot banking trojan detection

A Gezer, G Warner, C Wilson, P Shrestha - Computers & Security, 2019 - Elsevier
Nowadays, online banking is an attractive way of carrying out financial operations such as
ecommerce, e-banking, and e-payments without much effort or the need of any physical …

Amaretto: An active learning framework for money laundering detection

D Labanca, L Primerano… - IEEE …, 2022 - ieeexplore.ieee.org
Monitoring financial transactions is a critical Anti-Money Laundering (AML) obligation for
financial institutions. In recent years, machine learning-based transaction monitoring …

Artificial intelligence techniques to detect and prevent corruption in procurement: a systematic literature review

Y Torres Berru, VF López Batista… - … Conference, ICAT 2019 …, 2020 - Springer
Transparency International estimates that the costs of corruption in public procurement
reach between 20 and 25% of the contract value, sometimes reaching 40–50%. In this study …

[HTML][HTML] Privacy intrusiveness in financial-banking fraud detection

L Găbudeanu, I Brici, C Mare, IC Mihai, MC Șcheau - Risks, 2021 - mdpi.com
Specialty literature and solutions in the market have been focusing in the last decade on
collecting and aggregating significant amounts of data about transactions (and user …

HAMLET: A transformer based approach for money laundering detection

MP Tatulli, T Paladini, M D'Onghia, M Carminati… - … Symposium on Cyber …, 2023 - Springer
Money laundering has damaging economic, security, and social consequences, fueling
criminal activities like terrorism, human and drug trafficking. Recent technological …

[PDF][PDF] A natural language processing approach for financial fraud detection

JF Rodríguez, M Papale, M Carminati… - CEUR workshop …, 2022 - re.public.polimi.it
Due to the proliferation of online banking, people are more exposed than ever to attacks.
Moreover, frauds are becoming more sophisticated, bypassing the security measures put in …

Evaluating the potential of quantum machine learning in cybersecurity: A case-study on PCA-based intrusion detection systems

A Bellante, T Fioravanti, M Carminati, S Zanero… - Computers & …, 2025 - Elsevier
Quantum computing promises to revolutionize our understanding of the limits of
computation, and its implications in cryptography have long been evident. Today …