1 publication

  • Published Subscription Original Research

    Enhancing Credit Card Fraud Detection Using Device Fingerprinting and Behavioral Biometrics

    Abstract: Credit card fraud is a growing global concern, with financial losses projected to reach $ 43.47 billion by 2028. Credit card fraud poses a major challenge in the financial industry, resulting in substantial financial losses and security risks. This research introduces a Machine Learning-based Credit Card Fraud Detection System designed to improve the accuracy of fraud identification. Due to the imbalanced nature of fraud datasets, SMOTE (Synthetic Minority Over-sampling Technique) …

    Published in Journal Of Network security · Vol. 13, Issue 2, 2025 · pp. 40–50 Read article

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