UGC Approved Journal no 63975(19)

ISSN: 2349-5162 | ESTD Year : 2014
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Volume 11 | Issue 10 | October 2024

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Published in:

Volume 11 Issue 9
September-2024
eISSN: 2349-5162

UGC and ISSN approved 7.95 impact factor UGC Approved Journal no 63975

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Published Paper ID:
JETIR2409568


Registration ID:
548702

Page Number

f322-f326

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Title

Online Payment Fraud Detection

Abstract

As we are approaching modernity, the trend of paying online is increasing tremendously. It is very beneficial for the buyer to pay online as it saves time, and solves the problem of free money. Also, we do not need to carry cash with us. But we all know that Good thing are accompanied by bad things. The online payment method leads to fraud that can happen using any payment app. That is why Online Payment Fraud Detection is very important. In this we have use two algorithm it is Support Vector Classification (SVC) and Logistic Regression which has accuracy of 100% and 50% respectively . By using this it will become easy to identify suspicious patterns and behaviors that may indicate fraudulent activity .

Key Words

Fraud Detection, Machine Learning , Support Vector Classification, Logistic Regression , Random Forest Algorithm

Cite This Article

"Online Payment Fraud Detection ", International Journal of Emerging Technologies and Innovative Research (www.jetir.org), ISSN:2349-5162, Vol.11, Issue 9, page no.f322-f326, September-2024, Available :http://www.jetir.org/papers/JETIR2409568.pdf

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2349-5162 | Impact Factor 7.95 Calculate by Google Scholar

An International Scholarly Open Access Journal, Peer-Reviewed, Refereed Journal Impact Factor 7.95 Calculate by Google Scholar and Semantic Scholar | AI-Powered Research Tool, Multidisciplinary, Monthly, Multilanguage Journal Indexing in All Major Database & Metadata, Citation Generator

Cite This Article

"Online Payment Fraud Detection ", International Journal of Emerging Technologies and Innovative Research (www.jetir.org | UGC and issn Approved), ISSN:2349-5162, Vol.11, Issue 9, page no. ppf322-f326, September-2024, Available at : http://www.jetir.org/papers/JETIR2409568.pdf

Publication Details

Published Paper ID: JETIR2409568
Registration ID: 548702
Published In: Volume 11 | Issue 9 | Year September-2024
DOI (Digital Object Identifier):
Page No: f322-f326
Country: VASAI - W, Maharashtra, India .
Area: Science & Technology
ISSN Number: 2349-5162
Publisher: IJ Publication


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