A Survey and a Credit Card Fraud Detection and Prevention Model using the Decision Tree Algorithm
Today, many people prefer online payment methods due to the rapid growth in cashless electronic transactions. Credit and debit cards are the most popular electronic payment methods but are prone to fraud due to the nature of their use and the tendency of fraudsters to access their details. This stud...
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Format: | Article |
Language: | English |
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D. G. Pylarinos
2023-08-01
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Series: | Engineering, Technology & Applied Science Research |
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Online Access: | https://etasr.com/index.php/ETASR/article/view/6128 |
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author | Abdulaziz Saleh Alraddadi |
author_facet | Abdulaziz Saleh Alraddadi |
author_sort | Abdulaziz Saleh Alraddadi |
collection | DOAJ |
description | Today, many people prefer online payment methods due to the rapid growth in cashless electronic transactions. Credit and debit cards are the most popular electronic payment methods but are prone to fraud due to the nature of their use and the tendency of fraudsters to access their details. This study proposes a theoretical credit fraud detection and prevention model using a Decision Tree Algorithm (DCA). Moreover, a survey questionnaire was used to investigate students' perceptions of credit card fraud incidents. Data were collected from 102 students from different universities and countries around the world. The results showed that 95.9% of the respondents knew how credit/debit card fraud occurs, while 4.1% of them did not. Finally, 81.6% expressed their willingness to use a tool based on the proposed model to prevent or detect credit/debit card fraud incidents.
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first_indexed | 2024-03-12T15:30:21Z |
format | Article |
id | doaj.art-3f6db5f312514c6e90a8d94b4deda119 |
institution | Directory Open Access Journal |
issn | 2241-4487 1792-8036 |
language | English |
last_indexed | 2024-03-12T15:30:21Z |
publishDate | 2023-08-01 |
publisher | D. G. Pylarinos |
record_format | Article |
series | Engineering, Technology & Applied Science Research |
spelling | doaj.art-3f6db5f312514c6e90a8d94b4deda1192023-08-10T05:33:17ZengD. G. PylarinosEngineering, Technology & Applied Science Research2241-44871792-80362023-08-0113410.48084/etasr.6128A Survey and a Credit Card Fraud Detection and Prevention Model using the Decision Tree AlgorithmAbdulaziz Saleh Alraddadi0College of Computer Science and Engineering, Taibah University, Saudi ArabiaToday, many people prefer online payment methods due to the rapid growth in cashless electronic transactions. Credit and debit cards are the most popular electronic payment methods but are prone to fraud due to the nature of their use and the tendency of fraudsters to access their details. This study proposes a theoretical credit fraud detection and prevention model using a Decision Tree Algorithm (DCA). Moreover, a survey questionnaire was used to investigate students' perceptions of credit card fraud incidents. Data were collected from 102 students from different universities and countries around the world. The results showed that 95.9% of the respondents knew how credit/debit card fraud occurs, while 4.1% of them did not. Finally, 81.6% expressed their willingness to use a tool based on the proposed model to prevent or detect credit/debit card fraud incidents. https://etasr.com/index.php/ETASR/article/view/6128online paymentcredit card fraudDecision Tree Algorithm (DCA)survey |
spellingShingle | Abdulaziz Saleh Alraddadi A Survey and a Credit Card Fraud Detection and Prevention Model using the Decision Tree Algorithm Engineering, Technology & Applied Science Research online payment credit card fraud Decision Tree Algorithm (DCA) survey |
title | A Survey and a Credit Card Fraud Detection and Prevention Model using the Decision Tree Algorithm |
title_full | A Survey and a Credit Card Fraud Detection and Prevention Model using the Decision Tree Algorithm |
title_fullStr | A Survey and a Credit Card Fraud Detection and Prevention Model using the Decision Tree Algorithm |
title_full_unstemmed | A Survey and a Credit Card Fraud Detection and Prevention Model using the Decision Tree Algorithm |
title_short | A Survey and a Credit Card Fraud Detection and Prevention Model using the Decision Tree Algorithm |
title_sort | survey and a credit card fraud detection and prevention model using the decision tree algorithm |
topic | online payment credit card fraud Decision Tree Algorithm (DCA) survey |
url | https://etasr.com/index.php/ETASR/article/view/6128 |
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