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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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Principais autores: Saad M. Darwish, Samah EL-Naggar, Saleh M. Elkaffas
Format: Artigo
Sprog:Inglês
Udgivet: SpringerOpen 2026-01-01
Serier:Cybersecurity
Fag:
Anomaly detection
Lightweight blockchain
Financial transaction security
Adaptive fraud detection
Online adgang:https://doi.org/10.1186/s42400-025-00436-8
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