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Detecting Cyber Fraud in Banking Transactions via Machine Learning Techniques: Implications for Financial Stability

This study empirically investigates the performance of Elastic Machine Learning, an industrial, unsupervised anomaly detection tool, in the identification of fraudulent behavior in banking transactions. Using AI-generated datasets that were designed to simulate realistic banking environments, the an...

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Principais autores: Lamprini Konsta, Dimitrios Dimitriou, Anastasios Papathanasiou, Vasiliki Liagkou
Format: Artigo
Sprog:Inglês
Udgivet: MDPI AG 2026-03-01
Serier:FinTech
Fag:
cybercrime
machine learning
elastic software
banking sector
financial system
Online adgang:https://www.mdpi.com/2674-1032/5/1/23
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