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INTERNATIONAL JOURNAL OF NOVEL RESEARCH AND DEVELOPMENT International Peer Reviewed & Refereed Journals, Open Access Journal ISSN Approved Journal No: 2456-4184 | Impact factor: 8.76 | ESTD Year: 2016 Scholarly open access journals, Peer-reviewed, and Refereed Journals, Impact factor 8.76 (Calculate by google scholar and Semantic Scholar | AI-Powered Research Tool) , Multidisciplinary, Monthly, Indexing in all major database & Metadata, Citation Generator, Digital Object Identifier(DOI) |
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Issue: May 2024
Volume 9 | Issue 5
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| Paper Title: | Building a CNN model for Credit card fraud detection using TensorFlow and Keras |
| Authors Name: | G. Vijaya Lakshmi , Sumeet Sai Mahapatro , V. Monica , S. Sowjanya |
| Download E-Certificate: | Download |
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IJNRD_217367
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| Published Paper Id: | IJNRD2404155 |
| Published In: | Volume 9 Issue 4, April-2024 |
| DOI: | |
| Abstract: | 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. |
| Keywords: | Convolutional Neural Networks (CNN), Credit Card Fraud Detection, TensorFlow, Keras, Model Training and Validation, Machine Learning, Dataset Splitting, Precision, Recall, F1 Score, Feature Extraction. |
| Cite Article: | "Building a CNN model for Credit card fraud detection using TensorFlow and Keras", International Journal of Novel Research and Development (www.ijnrd.org), ISSN:2456-4184, Vol.9, Issue 4, page no.b425-b434, April-2024, Available :http://www.ijnrd.org/papers/IJNRD2404155.pdf |
| Downloads: | 00095 |
| ISSN: |
2456-4184 | IMPACT FACTOR: 8.76 Calculated By Google Scholar| ESTD YEAR: 2016 An International Scholarly Open Access Journal, Peer-Reviewed, Refereed Journal Impact Factor 8.76 Calculate by Google Scholar and Semantic Scholar | AI-Powered Research Tool, Multidisciplinary, Monthly, Multilanguage Journal Indexing in All Major Database & Metadata, Citation Generator |
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Published Paper ID:IJNRD2404155 Registration ID: 217367 Published In: Volume 9 Issue 4, April-2024 DOI (Digital Object Identifier): Page No: b425-b434 Country: Srikakulam, Andhra Pradesh, India Research Area: Computer Science & Technology Publisher : IJ Publication Published Paper URL : https://www.ijnrd.org/viewpaperforall?paper=IJNRD2404155 Published Paper PDF: https://www.ijnrd.org/papers/IJNRD2404155 |
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ISSN: 2456-4184
Impact Factor: 8.76 and ISSN APPROVED
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