Realtime Fraud Detection Analysis Using Machine Learning.

Realtime Fraud Detection Analysis Using Machine Learning.

Registration ID: IJNRD_210402

Published ID: IJNRD2312063

DOI: Click Here to Get

Omkar Binage , Samueal D'Souza , Anushka Bhagwat , Sameeksha Hedau

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.

Published Paper   E-Certificate

"Realtime Fraud Detection Analysis Using Machine Learning.", IJNRD - INTERNATIONAL JOURNAL OF NOVEL RESEARCH AND DEVELOPMENT (www.IJNRD.org), ISSN:2456-4184, Vol.8, Issue 12, page no.a495-a499, December-2023, Available :https://ijnrd.org/papers/IJNRD2312063.pdf

Volume 8 Issue 12, December-2023

Pages : a495-a499

Paper Reg. ID: IJNRD_210402

Published Paper Id: IJNRD2312063

Downloads: 000121166

Research Area: Computer Science & Technology 

Country: PUNE, Maharashtra, India

Published Paper PDF: https://ijnrd.org/papers/IJNRD2312063.pdf

Published Paper URL: https://ijnrd.org/viewpaperforall?paper=IJNRD2312063

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

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

Publisher: IJNRD (IJ Publication) Janvi Wave

This work is licensed under a Creative Commons Attribution 4.0 International License and The Open Definition

Call For Paper - Volume 10 | Issue 8 | August 2025

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INTERNATIONAL JOURNAL OF NOVEL RESEARCH AND DEVELOPMENT (IJNRD) aims to explore advances in research pertaining to applied, theoretical and experimental Technological studies. The goal is to promote scientific information interchange between researchers, developers, engineers, students, and practitioners working in and around the world. IJNRD will provide an opportunity for practitioners and educators of engineering field to exchange research evidence, models of best practice and innovative ideas.

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Current Issue: Volume 10 | Issue 8

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Frequency: Monthly (12 issue Annually).

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