credit card 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 →

• Published Subscription Original Research 25 Jul 2023

  Card Fraud Detection Using Artificial Neural Network and Multilayer Perception Algorithm

  By Baku Agyo Raphael, Bisen Gambo Adashu, Andrew Ishaku Wreford

  Abstract: Fraud has posed a significant challenge for merchants, especially in the online business sector, over the course of many years. This is primarily due to the advancements in technology that have made credit card transactions a common method of payment. Credit card fraud refers to the unauthorized use of a credit card by an individual for personal purposes, without the owner's consent and with no intention of paying for the …

  Published in International Journal of Algorithms Design and Analysis Review · Vol. 1, Issue 1, 2023 · pp. 21–30 Read article →