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@article{162200,
        author = {Srikrish Santhosh and Tanisha Parvatikar},
        title = {Fortifying Digital Payments: Responding to UPI Frauds by Leveraging AI and Blockchain Technology},
        journal = {International Journal of Innovative Research in Technology},
        year = {},
        volume = {10},
        number = {8},
        pages = {282-286},
        issn = {2349-6002},
        url = {https://ijirt.org/article?manuscript=162200},
        abstract = {This report focuses on India's broad digital payment market and illustrates a sharp rise in digital payment's fraud, as shown through a case study. The paper suggests using machine learning and blockchain smart contracts for anomaly detection as cutting-edge security techniques to counteract emerging risks. While blockchain smart contracts offer a decentralized and unchangeable base, anomaly detection examines user behavior to strengthen the digital payment system.  In addition to addressing existing gaps in security, these suggested laws also support a dialogue that places a premium on accessibility and trust, establishing the framework for India's safe and ongoing use of electronic payment systems.},
        keywords = {Anomaly Detection, Blockchain Smart Contracts,  Digital payments, Machine learning.},
        month = {},
        }