id	author	title	date	pages	extension	mime	words	sentence	flesch	summary	cache	txt
hij-616	Abbassi, Hanae; El Mendili, Saida; Gahi, Youssef	Real-Time Online Banking Fraud Detection Model by Unsupervised Learning Fusion	2024	15	.pdf	application/pdf	8911	585	51	The findings from simulations demonstrate that the proposed approach can detect transaction fraud and is immune to double-spending and Sybil threats. As a result, we undertook a literature analysis using the methods of research outlined in the preceding section to examine all accessible studies that contributed to the continuing interactions on online transaction fraud detection.	cache/hij-616.pdf	txt/hij-616.txt