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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Bibliografische Detailangaben

Hauptverfasser:	Saad M. Darwish, Samah EL-Naggar, Saleh M. Elkaffas
Format:	Artigo
Sprache:	Inglês
Veröffentlicht:	SpringerOpen 2026-01-01
Schriftenreihe:	Cybersecurity
Schlagworte:	Anomaly detection Lightweight blockchain Financial transaction security Adaptive fraud detection
Online-Zugang:	https://doi.org/10.1186/s42400-025-00436-8
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