A Novel Fraud Detection Scheme for Credit Card Usage Employing Random Forest Algorithm Combined with Feedback Mechanism
As electronic commerce has gained widespread popularity, payments made for users' transactions through credit cards also gained an equal amount of reputation. Whenever shopping through the web is made, the chance for the occurrence of fraudulent activities are escalating. In this paper, we have...
Saved in:
| Main Author: | |
|---|---|
| Format: | Article |
| Language: | English |
| Published: |
University of Tehran
2021-05-01
|
| Series: | Journal of Information Technology Management |
| Subjects: | |
| Online Access: | https://jitm.ut.ac.ir/article_80615_fbdba9205aeb451120382554f83b000a.pdf |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
| _version_ | 1849724864616726528 |
|---|---|
| author | S. KanagaSuba Raja |
| author_facet | S. KanagaSuba Raja |
| author_sort | S. KanagaSuba Raja |
| collection | DOAJ |
| description | As electronic commerce has gained widespread popularity, payments made for users' transactions through credit cards also gained an equal amount of reputation. Whenever shopping through the web is made, the chance for the occurrence of fraudulent activities are escalating. In this paper, we have proposed a three-phase scheme to detect fraudulent activities. A profile for the card users based on their behavior is created by employing a machine learning technique in the second phase extraction of a precise communicative pattern for the card users depending upon the accumulated transactions and the user's earlier transactions. A collection of classifiers are then trained based on all behavioral pattern. The trained collection of classifiers are then used to detect the fraudulent online activities that occurred. If an emerging transaction is fraudulent, feedback is taken, which resolves the drift's difficulty in the notion. Experiments performed indicated that the proposed scheme works better than other schemes. |
| format | Article |
| id | doaj-art-84fba2d22c7845cc8e33fd6fefbe2b7a |
| institution | DOAJ |
| issn | 2008-5893 2423-5059 |
| language | English |
| publishDate | 2021-05-01 |
| publisher | University of Tehran |
| record_format | Article |
| series | Journal of Information Technology Management |
| spelling | doaj-art-84fba2d22c7845cc8e33fd6fefbe2b7a2025-08-20T03:10:38ZengUniversity of TehranJournal of Information Technology Management2008-58932423-50592021-05-0113Special Issue: Big Data Analytics and Management in Internet of Things213510.22059/jitm.2021.8061580615A Novel Fraud Detection Scheme for Credit Card Usage Employing Random Forest Algorithm Combined with Feedback MechanismS. KanagaSuba Raja0Department of Information Technology, Easwari Engineering College, Chennai, India.As electronic commerce has gained widespread popularity, payments made for users' transactions through credit cards also gained an equal amount of reputation. Whenever shopping through the web is made, the chance for the occurrence of fraudulent activities are escalating. In this paper, we have proposed a three-phase scheme to detect fraudulent activities. A profile for the card users based on their behavior is created by employing a machine learning technique in the second phase extraction of a precise communicative pattern for the card users depending upon the accumulated transactions and the user's earlier transactions. A collection of classifiers are then trained based on all behavioral pattern. The trained collection of classifiers are then used to detect the fraudulent online activities that occurred. If an emerging transaction is fraudulent, feedback is taken, which resolves the drift's difficulty in the notion. Experiments performed indicated that the proposed scheme works better than other schemes.https://jitm.ut.ac.ir/article_80615_fbdba9205aeb451120382554f83b000a.pdfelectronic commercecredit cardmachine learningtransactionsclassifiersfraudulent activities |
| spellingShingle | S. KanagaSuba Raja A Novel Fraud Detection Scheme for Credit Card Usage Employing Random Forest Algorithm Combined with Feedback Mechanism Journal of Information Technology Management electronic commerce credit card machine learning transactions classifiers fraudulent activities |
| title | A Novel Fraud Detection Scheme for Credit Card Usage Employing Random Forest Algorithm Combined with Feedback Mechanism |
| title_full | A Novel Fraud Detection Scheme for Credit Card Usage Employing Random Forest Algorithm Combined with Feedback Mechanism |
| title_fullStr | A Novel Fraud Detection Scheme for Credit Card Usage Employing Random Forest Algorithm Combined with Feedback Mechanism |
| title_full_unstemmed | A Novel Fraud Detection Scheme for Credit Card Usage Employing Random Forest Algorithm Combined with Feedback Mechanism |
| title_short | A Novel Fraud Detection Scheme for Credit Card Usage Employing Random Forest Algorithm Combined with Feedback Mechanism |
| title_sort | novel fraud detection scheme for credit card usage employing random forest algorithm combined with feedback mechanism |
| topic | electronic commerce credit card machine learning transactions classifiers fraudulent activities |
| url | https://jitm.ut.ac.ir/article_80615_fbdba9205aeb451120382554f83b000a.pdf |
| work_keys_str_mv | AT skanagasubaraja anovelfrauddetectionschemeforcreditcardusageemployingrandomforestalgorithmcombinedwithfeedbackmechanism AT skanagasubaraja novelfrauddetectionschemeforcreditcardusageemployingrandomforestalgorithmcombinedwithfeedbackmechanism |