Securing financial transactions: exploring the role of lightweight blockchain-enabled deep learning for fraud detection in FinTech systems

Abstract The rapid digitization of financial transactions has increased efficiency but also exposed systems to sophisticated fraud attempts, posing significant challenges to ensuring transaction security. Traditional fraud detection approaches, including rule-based systems and conventional machine l...

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Hlavní autoři:	Saad M. Darwish, Samah EL-Naggar, Saleh M. Elkaffas
Médium:	Artigo
Jazyk:	Inglês
Vydáno:	SpringerOpen 2026-01-01
Edice:	Cybersecurity
Témata:	Anomaly detection Lightweight blockchain Financial transaction security Adaptive fraud detection
On-line přístup:	https://doi.org/10.1186/s42400-025-00436-8
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