Yeruva, Chinnapa Reddy (2025) Combatting fraud in real-time payments: Strategies and technologies for securing instant payment systems. International Journal of Science and Research Archive, 14 (1). pp. 1304-1309. ISSN 2582-8185
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Abstract
This comprehensive article explores the evolution and security challenges of real-time payment systems in the modern financial landscape. The article examines advanced fraud prevention strategies, including machine learning algorithms, artificial intelligence implementation, and real-time monitoring systems. It explores the transformation of Know Your Customer (KYC) processes through AI-powered identity verification and discusses the critical balance between security measures and user experience. The article further delves into emerging technologies such as quantum-resistant cryptography and edge computing, highlighting their role in shaping the future of payment security. The article demonstrates how financial institutions are adapting to new threats while maintaining transaction efficiency and regulatory compliance.
Item Type: | Article |
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Official URL: | https://doi.org/10.30574/ijsra.2025.14.1.0236 |
Uncontrolled Keywords: | Real-time Payment Security; Fraud Prevention Systems; Machine Learning Analytics; Identity Verification; Quantum-resistant Cryptography |
Depositing User: | Editor IJSRA |
Date Deposited: | 15 Jul 2025 15:33 |
Related URLs: | |
URI: | https://eprint.scholarsrepository.com/id/eprint/753 |