Credit_Card Fraud Detection Using ML Algorithms

Registration ID: IJNRD_225435

Published ID: IJNRD2407284

: Click Here to Get

Sindhu Shree H R, Mr. Bharath M , Pavan, Sneha , Rahul H

Keywords: random forest(RF), decision tree(DT), oversampling, under sampling, logistic regression(LR), credit card(creditcard), fraud detection, classification, training set, test set.

Abstract– This paper examines the increasing problem on creditcard(CD) fraud as evolving within the rapidly developing world of electronic commerce. With creditcards becoming more widespread as a payment method, the no of false transactions are also increasing at an alarming rate across the world and leading to significant monetary loss. In the face of such challenge, a no of sophisticated approaches rooted in artificial intelligence, It gives an overview of the techniques, stressing the necessity for effective fraud detection systems to protect damage from credit card issued by banks. Machinelearning(ML) with approaches that includes DT, LR, RF, Genetic Algorithms and ensemble techniques is then considered to demonstrate the efficacy of finding out genuine transactions from all fraudulent ones. Real-world datasets are utilized in the research to show how competitive this work against existing systems. This last section concludes on the ever evolving fraud detection ideas and a broad understanding of different counter–measures across domains with cases in creditcard fraud, telecommunication fraud and computer intrusion.

Published Paper   E-Certificate

Sindhu Shree H R, Mr. Bharath M , Pavan, Sneha , & Rahul H (July-2024). Credit_Card Fraud Detection Using ML Algorithms. INTERNATIONAL JOURNAL OF NOVEL RESEARCH AND DEVELOPMENT, 9(7), c889-c895. https://ijnrd.org/papers/IJNRD2407284.pdf

Volume 9 Issue 7, July-2024

Pages : c889-c895

Paper Reg. ID: IJNRD_225435

Published Paper Id: IJNRD2407284

Downloads: 000121990

Research Area: Engineering

Author Type: Indian Author

Country: banglore, Karnataka, India

Published Paper PDF: https://ijnrd.org/papers/IJNRD2407284.pdf

Published Paper URL: https://ijnrd.org/viewpaperforall?paper=IJNRD2407284

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

UGC CARE JOURNAL PUBLICATION | 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 | IJNRD.ORG | IJNRD.COM | IJPUB.ORG

© 2025 — Authors hold the copyright of this article. This work is licensed under a Creative Commons Attribution 4.0 International License. and The Open Definition.

You are free to share, adapt, and redistribute the material, provided proper credit is given to the original author. 🛡️ Disclaimer: The content, data, and findings in this article are based on the authors’ research and have been peer-reviewed for academic purposes only. Readers are advised to verify all information before practical or commercial use. The journal and its editorial board are not liable for any errors, losses, or consequences arising from its use.

Call For Paper - Volume 10 | Issue 10 | October 2025

IJNRD is a Scholarly Open Access, Peer-Reviewed, Refereed, and UGC CARE Journal Publication with a High Impact Factor of 8.76 (calculated by Google Scholar & Semantic Scholar | AI-Powered Research Tool). It is a Multidisciplinary, Monthly, Low-Cost, and Transparent Peer Review Journal Publication that adheres to the UGC CARE 2025 Peer-Reviewed Journal Policy and aligns with Scopus Journal Publication standards to ensure the highest level of research quality and credibility.

IJNRD offers comprehensive Journal Publication Services including indexing in all major databases and metadata repositories, Digital Object Identifier (Crossref DOI) assignment for each published article with additional fees, citation generation tools, and full Open Access visibility to enhance global research reach and citation impact.

The INTERNATIONAL JOURNAL OF NOVEL RESEARCH AND DEVELOPMENT (IJNRD) aims to advance applied, theoretical, and experimental research across diverse academic and professional fields. The journal promotes global knowledge exchange among researchers, developers, academicians, engineers, and practitioners, serving as a trusted platform for innovative, peer-reviewed journal publication and scientific collaboration.

Indexing Coverage: Google Scholar, SSRN, ResearcherID-Publons, Semantic Scholar (AI-Powered Research Tool), Microsoft Academic, Academia.edu, arXiv.org, ResearchGate, CiteSeerX, ResearcherID (Thomson Reuters), Mendeley, DocStoc, ISSUU, Scribd, and many other recognized academic repositories.

How to submit the paper?

By Our website

Click Here to Submit Paper Online

By Mail

Send your paper to editor@ijnrd.org

You can now publish your research in IJNRD. IJNRD is a Transparent Peer-Reviewed Open Access Journal Publication (Refereed Journal), aligning with New UGC and UGC CARE recommendations.

For more details, refer to the official notice: UGC Public Notice

Submit Paper Online

Important Dates for Current issue

Paper Submission Open For: October 2025

Current Issue: Volume 10 | Issue 10 | October 2025

Impact Factor: 8.76

Last Date for Paper Submission: Till 31-Oct-2025

Notification of Review Result: Within 1-2 Days after Submitting paper.

Publication of Paper: Within 01-02 Days after Submititng documents.

Frequency: Monthly (12 issue Annually).

Journal Type: IJNRD is an International Peer-reviewed, Refereed, and Open Access Journal with Transparent Peer Review as per the new UGC CARE 2025 guidelines, offering low-cost multidisciplinary publication with Crossref DOI and global indexing.

Subject Category: Research Area

Call for Paper: More Details

Approval, Licenses and Indexing: More Details