Fraud Detection in Financial Transactions Using IOT and Big Data Analytics

Please use this identifier to cite or link to this item: https://irek.ase.md:443/xmlui/handle/123456789/3104

Title:	Fraud Detection in Financial Transactions Using IOT and Big Data Analytics
Authors:	Singh, Khushwant Mistrean, Larisa Singh, Yudhvir Barac, Dheerdhwaj Parashar, Abhishek
Keywords:	big data analytics apache spark SMOTE ensemble learning methods fraud detection sequential model
Issue Date:	Sep-2023
Publisher:	ASEM
Abstract:	Credit cards, mobile wallets, and other electronic payment methods are gaining popularity. Online transactions are increasingly the norm — global fraud increases as electronic payments increase. As credit cards and online shopping become increasingly popular, fraud has skyrocketed. Fraud detection and prevention are being prioritized due to the global economy. DOI: https://doi.org/10.53486/cike2023.52; UDC: 336.717:004.056; JEL: G21, G23, C8
Description:	SINGH, Khushwant, MISTREAN, Larisa, SINGH, Yudhvir, BARAK, Dheerdhwaj, PARASHAR, Abhishek. Fraud Detection in Financial Transactions Using IOT and Big Data Analytics. In: Competitiveness and Innovation in the Knowledge Economy [online]: 27th International Scientific Conference: Conference Proceeding, September 22-23, 2023. Chişinău: ASEM, 2023, pp. 490-494. ISBN 978-9975-167-39-0 (PDF).
URI:	https://irek.ase.md:443/xmlui/handle/123456789/3104
ISBN:	978-9975-167-39-0 (PDF).
Appears in Collections:	2.Articole

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