Fraud Detection in Financial Transactions Using IOT and Big Data Analytics

Singh, Khushwant; Mistrean, Larisa; Singh, Yudhvir; Barac, Dheerdhwaj; Parashar, Abhishek

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dc.contributor.author	Singh, Khushwant
dc.contributor.author	Mistrean, Larisa
dc.contributor.author	Singh, Yudhvir
dc.contributor.author	Barac, Dheerdhwaj
dc.contributor.author	Parashar, Abhishek
dc.date.accessioned	2024-02-29T09:15:48Z
dc.date.available	2024-02-29T09:15:48Z
dc.date.issued	2023-09
dc.identifier.isbn	978-9975-167-39-0 (PDF).
dc.identifier.uri	https://irek.ase.md:443/xmlui/handle/123456789/3104
dc.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).	en_US
dc.description.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	en_US
dc.language.iso	en	en_US
dc.publisher	ASEM	en_US
dc.subject	big data analytics	en_US
dc.subject	apache spark	en_US
dc.subject	SMOTE	en_US
dc.subject	ensemble learning methods	en_US
dc.subject	fraud detection	en_US
dc.subject	sequential model	en_US
dc.title	Fraud Detection in Financial Transactions Using IOT and Big Data Analytics	en_US
dc.type	Article	en_US