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@article{185444,
        author = {K. Hardhik and D. Chandana Sree and C. Sai Sri Harsha and N. Vennela},
        title = {PREVENTING AND PREDICTING UPI FRAUD: A BIG DATA AND ML APPROACH},
        journal = {International Journal of Innovative Research in Technology},
        year = {2025},
        volume = {12},
        number = {5},
        pages = {1522-1527},
        issn = {2349-6002},
        url = {https://ijirt.org/article?manuscript=185444},
        abstract = {Fraud in Unified Payments Interface (UPI) is a rising phenomenon, requiring efficient and proactive means of detection. This project is an investigation of the creation of a real- time fraud prevention mechanism based on machine learning. Analysing transaction and behavioural data, the system strives to drastically limit financial losses as well as the confidence of the users in the UPI interface. This work offers a field-tested framework to deploy sophisticated fraud detection solutions to the financial arena.},
        keywords = {Smart cities, Big Data Analytics, Internet of Things, Sustainability, Urban planning, Cybersecurity, Data gov- ernance, Emerging economies.},
        month = {October},
        }