Building a CNN model for Credit card fraud detection using TensorFlow and Keras

Registration ID: IJNRD_217367

Published ID: IJNRD2404155

DOI: Click Here to Get

G. Vijaya Lakshmi , Sumeet Sai Mahapatro , V. Monica , S. Sowjanya

Convolutional Neural Networks (CNN), Credit Card Fraud Detection, TensorFlow, Keras, Model Training and Validation, Machine Learning, Dataset Splitting, Precision, Recall, F1 Score, Feature Extraction.

This study presents a novel approach to fraud detection using convolutional neural networks (CNNs) in the digital finance sector. The model is trained on a complex dataset of legitimate and fraudulent credit card transactions, highlighting patterns and transaction characteristics indicative of fraudulent activity. The model is designed to capture complex patterns and adapt to evolving fraud tactics. The performance of the model is evaluated against traditional methods, focusing on accuracy, precision, recall, and F1 score. The study also explores the implications of false positives and false negatives in credit card fraud detection. The research also addresses challenges in real-world scenarios, proposing a solution for integrating the CNN model into existing systems. The study also addresses ethical considerations and privacy concerns, proposing responsible use guidelines to balance the benefits of improved fraud detection with user data protection.

Published Paper   E-Certificate

G. Vijaya Lakshmi, Sumeet Sai Mahapatro , V. Monica, & S. Sowjanya (April-2024). Building a CNN model for Credit card fraud detection using TensorFlow and Keras. INTERNATIONAL JOURNAL OF NOVEL RESEARCH AND DEVELOPMENT, 9(4), b425-b434. https://ijnrd.org/papers/IJNRD2404155.pdf

Volume 9 Issue 4, April-2024

Pages : b425-b434

Paper Reg. ID: IJNRD_217367

Published Paper Id: IJNRD2404155

Downloads: 000121979

Research Area: Computer Science & Technology 

Country: Srikakulam, Andhra Pradesh, India

Published Paper PDF: https://ijnrd.org/papers/IJNRD2404155.pdf

Published Paper URL: https://ijnrd.org/viewpaperforall?paper=IJNRD2404155

Journal Name: INTERNATIONAL JOURNAL OF NOVEL RESEARCH AND DEVELOPMENT(IJNRD)

ISSN: 2456-4184 | IMPACT FACTOR: 8.76 Calculated By Google Scholar | ESTD YEAR: 2016

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