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@article{171369,
        author = {Priyanshu Vikram Singh and Dr. Nidhi Saxena},
        title = {Secure-ATM: Real-Time Fraud  Prevention Using AI},
        journal = {International Journal of Innovative Research in Technology},
        year = {2024},
        volume = {11},
        number = {7},
        pages = {3381-3383},
        issn = {2349-6002},
        url = {https://ijirt.org/article?manuscript=171369},
        abstract = {ATM fraud poses a significant challenge to the banking sector, leading to substantial financial losses. Traditional security measures, including PIN verification and transaction monitoring, often fall short in detecting and preventing fraud in real time. This research proposes an AI-driven system that integrates advanced machine learning and deep learning techniques for real-time anomaly detection and fraud prevention. The study explores key challenges such as data privacy, scalability, and false positives while highlighting the potential of AI to revolutionize ATM security.},
        keywords = {},
        month = {December},
        }