card-not-present fraud

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• Published Subscription Original Research 15 Apr 2025

  Enhancing Credit Card Fraud Detection Using Device Fingerprinting and Behavioral Biometrics

  By Sakshi Vinod Jadhav, Gayatri Balasaheb Joshi, Deesha Shashikant Pasoli, Sanika Balkrishna Kashid, Ambuj Kumar

  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 →