Real-Time Fraud Detection in Financial Transactions an Integrated Approach using Machine Learning and Cloud-Based Data Warehousing
Keywords:
Fraud detection, Machine learning, Cloud data warehousing, Real-time analysis, Financial security, E-commerce, Payment gateways.Abstract
With the escalating volume and sophistication of online financial transactions, ensuring the security of these transactions has never been more pivotal. Traditional fraud detection methods have struggled to keep pace with innovative fraudulent techniques, necessitating a paradigm shift in detection strategies. This article reviews an integrated approach to fraud detection that melds the predictive capabilities of machine learning with the expansive storage and processing capacities of cloud-based data warehousing systems. Through an in-depth analysis, including real-world case studies, the article underscores the efficacy of this combined approach in offering real-time, scalable, and highly accurate fraud detection solutions. The findings highlight a significant reduction in false positives, cost savings, and enhanced user trust.
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Ali, Abdulalem & Razak, Shukor & Othman, Siti & Eisa, Taiseer & Al-dhaqm, Arafat & Nasser, Maged & Elhassan, Tusneem & Elshafie, Hashim & Saif, Abdu. (2022). Financial Fraud Detection Based on Machine Learning: A Systematic Literature Review. Applied Sciences. 12. 9637. 10.3390/app12199637.
Alwadain, Ayed & Ali, Rao & Muneer, Amgad. (2023). Estimating Financial Fraud through Transaction-Level Features and Machine Learning. Mathematics. 11. 1184. 10.3390/math11051184.
Arri, Harwant. (2022). Real-Time Credit Card Fraud Detection Using Machine Learning. INTERANTIONAL JOURNAL OF SCIENTIFIC RESEARCH IN ENGINEERING AND MANAGEMENT. 06. 10.55041/IJSREM12659.
Aschi, Massimiliano & Bonura, Susanna & Masi, Nicola & Messina, Domenico & Profeta, Davide. (2022). Cybersecurity and Fraud Detection in Financial Transactions. 10.1007/978-3-030-94590-9_15.
Ashfaq, Tehreem & Khalid, Rabiya & Yahaya, Adamu & Aslam, Sheraz & Azar, Ahmad & Alsafari, Safa & Hameed, Ibrahim. (2022). A Machine Learning and Blockchain Based Efficient Fraud Detection Mechanism. Sensors. 22. 7162. 10.3390/s22197162.
Chen, Yasheng & Wu, Zhuojun. (2022). Financial Fraud Detection of Listed Companies in China: A Machine Learning Approach. Sustainability. 15. 105. 10.3390/su15010105.
Cho, Shih. (2023). Fraud Detection in Malaysian Financial Institutions using Data Mining and Machine Learning. Journal of Information and Technology. 7. 13-21. 10.53819/81018102t4152.
Domashova, Jenny & Zabelina, Olga. (2021). Detection of fraudulent transactions using SAS Viya machine learning algorithms. Procedia Computer Science. 190. 204-209. 10.1016/j.procs.2021.06.025.
Ingole, Shubham & Kumar, Abhishek & Prusti, Debachudamani & Rath, Santanu. (2021). Service-Based Credit Card Fraud Detection Using Oracle SOA Suite. SN Computer Science. 2. 10.1007/s42979-021-00539-2.
Kazeem, Oladimeji. (2023). FRAUD DETECTION USING MACHINE LEARNING. 10.13140/RG.2.2.12616.29441.
Mohammed, Tayebi & El Kafhali, Said. (2022). Performance analysis of metaheuristics based hyperparameters optimization for fraud transactions detection. Evolutionary Intelligence. 10.1007/s12065-022-00764-5.
Mohite, Vaishali & Meher, Kunal & Dass, Ryan & Jonista, Athisaya & D’Souza, Jeston & Victor, Raymun. (2023). Fraud Detection Using Machine Learning and Blockchain. International Journal on Recent and Innovation Trends in Computing and Communication. 11. 584-590. 10.17762/ijritcc.v11i6s.6970.
Suthar, Naiya & Suthar, Trilok & Patel, Dhenuka. (2023). A FEDERATED BASED APPROACH FOR FRAUD DETECTION IN TRANSACTION. 10.5281/zenodo.7766227.
T, Swetha & Nath, Bellam & Manjunath, & N, Govinda & Kumar, H. (2022). Detection of Credit Card Fraud Transactions using Machine Learning based Algorithm. International Journal of Advanced Research in Science, Communication and Technology. 666-671. 10.48175/IJARSCT-5742.
Tamizharasi, A. & Rose, Remya & Rao, K. & Reddy, K. & Varun, J.. (2022). Machine learning based fraud detection in credit card data transactions. AIP Conference Proceedings. 2519. 030095. 10.1063/5.0110610.
Yadav, Dr & Sahu, Mr & Soni, Mr. (2022). Financial Markets Fraud Detection and Prevention using Kernel Adatron Algorithm with Machine Learning. International Journal of Advanced Research in Science, Communication and Technology. 910-920. 10.48175/IJARSCT-7581.
Yeruva, Sagar & Harshitha, Machavolu & Kavya, Miriyala & Sree, Murakonda & Sahithi, Tumpudi. (2023). Credit Card Fraud Detection using Machine Learning. International Journal of Engineering and Advanced Technology. 12. 25-30. 10.35940/ijeat.D4048.0412423.
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