Logo
  • Home
  • About Us
    • Aim and Scope
    • Research Area
    • Impact Factor
    • Indexing
  • For Authors
    • Authors Guidelines
    • How to publish paper?
    • Download Paper format
    • Submit Manuscript
    • Processing Charges
    • Download Copyrights Form
    • Submit Payment-Copyrights
  • Archives
    • Current Issues
    • Past Issues
    • Conference Issues
    • Special Issues
    • Advance Search
  • IJARIIE Board
    • Join as IJARIIE Board
    • Advisory Board
    • Editorial Board
    • Sr. Reviewer Board
    • Jr. Reviewer Board
  • Proposal
    • Conferece Proposal
    • Special Proposal
    • Faqs
  • Contact Us
  • Payment Detail

Call for Papers:Vol.11 Issue.3

Submission
Last date
28-Jun-2025
Acceptance Status In One Day
Paper Publish In Two Days
Submit ManuScript

News & Updates

Submit Article

Dear Authors, Article publish in our journal for Volume-11,Issue-3. For article submission on below link: Submit Manuscript


Join As Board

Dear Reviewer, You can join our Reviewer team without given any charges in our journal. Submit Details on below link: Join As Board


Paper Publication Charges

IJARIIE APP
Download Android App

For Authors

  • How to Publish Paper
  • Submit Manuscript
  • Processing Charges
  • Submit Payment

Archives

  • Current Issue
  • Past Issue

IJARIIE Board

  • Member Of Board
  • Join As Board

Downloads

  • Authors Guidelines
  • Manuscript Template
  • Copyrights Form

Android App

Download IJARIIE APP
  • Authors
  • Abstract
  • Citations
  • Downloads
  • Similar-Paper

Authors

Title: :  AN INNOVATIVE APPROACH FOR CREDIT CARD FRAUD DETECTION
PaperId: :  17546
Published in:   International Journal Of Advance Research And Innovative Ideas In Education
Publisher:   IJARIIE
e-ISSN:   2395-4396
Volume/Issue:    Volume 8 Issue 3 2022
DUI:    16.0415/IJARIIE-17546
Licence: :   IJARIIE is licensed under a Creative Commons Attribution-ShareAlike 4.0 International License.

Author NameAuthor Institute
Bushara HamzaIES College of Engineering
Santhi PIES College of Engineering
Dr. G KiruthigaIES College of Engineering

Abstract

Computer Engineering
Machine Learning, Credit Card, Fraud Detection
Due to the growing number of daily electronic transactions, which make credit cards more susceptible to fraud, they are the most popular form of electronic payment. Card fraud has cost credit card firms a lot of money. The most frequent problem right now is the detection of credit card fraud. Companies that issue credit cards are searching for the best systems & technology to reduce & detect credit card fraud. There are numerous ways to detect credit card fraud. Financial fraud cases, such credit card fraud, have increased as a result of recent developments in e-commerce & e-payment systems. Implementing systems that can identify credit card theft is therefore essential. When using machine learning to detect credit card fraud, features of these frauds must be carefully chosen because t hey play a significant part in the process. For clients to avoid being charged for products they did not buy, credit card issuers must be able to recognize fraudulent credit card transactions. With the use of credit card fraud detection, this project aims to demonstrate how to model a data set using machine learning. Modeling previous credit card transactions using information from those that turned out to be fraudulent is part of the Credit Card Fraud Detection Problem. The validity of a new transaction is then determined using this approach. Here, finding fraudulent transactions while reducing erroneous fraud categories is our goal.

Citations

Copy and paste a formatted citation or use one of the links to import into a bibliography manager and reference.

IJARIIE Bushara Hamza, Santhi P, and Dr. G Kiruthiga. "AN INNOVATIVE APPROACH FOR CREDIT CARD FRAUD DETECTION" International Journal Of Advance Research And Innovative Ideas In Education Volume 8 Issue 3 2022 Page 5004-5007
MLA Bushara Hamza, Santhi P, and Dr. G Kiruthiga. "AN INNOVATIVE APPROACH FOR CREDIT CARD FRAUD DETECTION." International Journal Of Advance Research And Innovative Ideas In Education 8.3(2022) : 5004-5007.
APA Bushara Hamza, Santhi P, & Dr. G Kiruthiga. (2022). AN INNOVATIVE APPROACH FOR CREDIT CARD FRAUD DETECTION. International Journal Of Advance Research And Innovative Ideas In Education, 8(3), 5004-5007.
Chicago Bushara Hamza, Santhi P, and Dr. G Kiruthiga. "AN INNOVATIVE APPROACH FOR CREDIT CARD FRAUD DETECTION." International Journal Of Advance Research And Innovative Ideas In Education 8, no. 3 (2022) : 5004-5007.
Oxford Bushara Hamza, Santhi P, and Dr. G Kiruthiga. 'AN INNOVATIVE APPROACH FOR CREDIT CARD FRAUD DETECTION', International Journal Of Advance Research And Innovative Ideas In Education, vol. 8, no. 3, 2022, p. 5004-5007. Available from IJARIIE, https://ijariie.com/AdminUploadPdf/AN_INNOVATIVE_APPROACH_FOR_CREDIT_CARD_FRAUD_DETECTION_ijariie17546.pdf (Accessed : 13 December 2022).
Harvard Bushara Hamza, Santhi P, and Dr. G Kiruthiga. (2022) 'AN INNOVATIVE APPROACH FOR CREDIT CARD FRAUD DETECTION', International Journal Of Advance Research And Innovative Ideas In Education, 8(3), pp. 5004-5007IJARIIE [Online]. Available at: https://ijariie.com/AdminUploadPdf/AN_INNOVATIVE_APPROACH_FOR_CREDIT_CARD_FRAUD_DETECTION_ijariie17546.pdf (Accessed : 13 December 2022)
IEEE Bushara Hamza, Santhi P, and Dr. G Kiruthiga, "AN INNOVATIVE APPROACH FOR CREDIT CARD FRAUD DETECTION," International Journal Of Advance Research And Innovative Ideas In Education, vol. 8, no. 3, pp. 5004-5007, May-Jun 2022. [Online]. Available: https://ijariie.com/AdminUploadPdf/AN_INNOVATIVE_APPROACH_FOR_CREDIT_CARD_FRAUD_DETECTION_ijariie17546.pdf [Accessed : 13 December 2022].
Turabian Bushara Hamza, Santhi P, and Dr. G Kiruthiga. "AN INNOVATIVE APPROACH FOR CREDIT CARD FRAUD DETECTION." International Journal Of Advance Research And Innovative Ideas In Education [Online]. volume 8 number 3 (13 December 2022).
Vancouver Bushara Hamza, Santhi P, and Dr. G Kiruthiga. AN INNOVATIVE APPROACH FOR CREDIT CARD FRAUD DETECTION. International Journal Of Advance Research And Innovative Ideas In Education [Internet]. 2022 [Cited : 13 December 2022]; 8(3) : 5004-5007. Available from: https://ijariie.com/AdminUploadPdf/AN_INNOVATIVE_APPROACH_FOR_CREDIT_CARD_FRAUD_DETECTION_ijariie17546.pdf
BibTex EndNote RefMan RefWorks

Number Of Downloads


Last download on 12/13/2022 6:34:07 AM

Save in Google Drive

Similar-Paper

TitleArea of ResearchAuther NameAction
PREDICTING GENETIC VARIANTS PATHOGENECITYComputer EngineeringSyed Arbeena Kausar Download
ANDROID MALWARE DETECTION USING MACHINE LEARNING TECHNIQUESCOMPUTER SCIENCE AND ENGINEERINGS. Saiful Islam Download
IMPROVING HEALTHCARE PREDICTION OF DIABETIC PATIENTS USING KNN IMPUTED FEATURES AND TRI-ENSEMBLE MODELCOMPUTER SCIENCE AND ENGINEERINGS. Mahammad Arif Download
MONEY LAUNDERING DETECTION USING MACHINE LEARNING METHODSCOMPUTER SCIENCE AND ENGINEERINGY B. Shashank Raj Download
LEVERAGING SPATIOTEMPORAL PATTERNS FOR CYBER ATTACK DETECTION IN DISTRIBUTION SYSTEMCOMPUTER SCIENCE AND ENGINEERINGV. Kumar Download
Real-Time Heart Disease Prediction Using Machine LearningCOMPUTER SCIENCE AND ENGINEERINGP. Sri Pavan Hari Charan Download
HAND AND FACE LANDMARKS DETECTION USING MEDIA PIPE AND AICOMPUTER SCIENCE AND ENGINEERINGK. V. Bharath Kumar Download
VEHICLES SPEED DETECTION SYSTEM USING OPENCVCOMPUTER SCIENCE AND ENGINEERINGS. Santosh Download
SUSPICIOUS HUMAN ACTIVITY RECOGNITION FROM SURVEILLANCE VIDEOS USING DEEP LEARNINGCOMPUTER SCIENCE AND ENGINEERINGM. Lakshmi kanth Download
DETECTION OF THYROID DISORDERS USING MACHINE LEARNING APPOARCHCOMPUTER SCIENCE AND ENGINEERINGP. Shamiulla Download
Events Recommendation SystemComputer Science and EngineeringDharsana S Download
Online Attendance Using Web ApplicationComputer EngineeringMrs. P. Saranya Download
Automated Pneumonia Detection Using ResNet50 Deep Learning ModelDepartment of Computer Science & Engineering, D.Y.Patil Technical Campus, Shivaji University, KolhapurSohan Sanjay Kamalakar Download
MULTI-DISEASE DETECTION USING MACHINE LEARNINGComputer EngineeringNamithadevi N N Download
NETWORK TRAFFIC ANALYSIS WITH BIG DATA AND DEEP LEARNING TECHNIQUESCOMPUTER SCIENCE AND ENGINEERINGD VYSHNAVI Download
12
For Authors
  • Submit Paper
  • Processing Charges
  • Submit Payment
Archive
  • Current Issue
  • Past Issue
IJARIIE Board
  • Member Of Board
  • Join As Board
Privacy and Policy
Follow us

Contact Info
  • +91-8401209201 (India)
  • +86-15636082010 (China)
  • ijariiejournal@gmail.com
  • M-20/234 Ami Appt,
    Nr.Naranpura Tele-Exch,
    Naranpura,
    Ahemdabad-380063
    Gujarat,India.
Copyright © 2025. IJARIIE. All Rights Reserved.