Paper Title
Realtime Fraud Detection Analysis Using Machine Learning.
Article Identifiers
Authors
Omkar Binage , Samueal D'Souza , Anushka Bhagwat , Sameeksha Hedau
Keywords
Abstract
This collaborative review paper amalgamates insights from various studies on real-time fraud detection using machine learning in the context of online transactions. Focusing on credit card fraud, it explores innovative approaches such as clustering cardholders based on transaction amounts and employing a sliding window strategy to extract behavioral patterns. Additionally, the review addresses the challenges of network transactions, proposing fraud detection algorithms with impressive AUC values.In the realm of online banking fraud, the paper introduces models extending classical machine learning methods, incorporating economic optimization and a risk model. Real-world testing demonstrates significant reductions in expected financial losses, surpassing benchmarks. This unified perspective underscores the complexities, ongoing challenges, and potential solutions in the dynamic landscape of fraud detection. The collaborative efforts presented herein provide a holistic understanding of the intricacies involved in combating fraud systematically and economically.
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How To Cite (APA)
Omkar Binage, Samueal D'Souza, Anushka Bhagwat, & Sameeksha Hedau (December-2023). Realtime Fraud Detection Analysis Using Machine Learning.. INTERNATIONAL JOURNAL OF NOVEL RESEARCH AND DEVELOPMENT, 8(12), a495-a499. https://ijnrd.org/papers/IJNRD2312063.pdf
Issue
Volume 8 Issue 12, December-2023
Pages : a495-a499
Other Publication Details
Paper Reg. ID: IJNRD_210402
Published Paper Id: IJNRD2312063
Downloads: 000121980
Research Area: Computer Science & TechnologyÂ
Country: PUNE, Maharashtra, India
Published Paper PDF: https://ijnrd.org/papers/IJNRD2312063.pdf
Published Paper URL: https://ijnrd.org/viewpaperforall?paper=IJNRD2312063
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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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This work is licensed under a Creative Commons Attribution 4.0 International License and The Open Definition


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