Fraud Detection in Credit Card Transactions; Using Parallel Processing of Anomalies in Big Data
In parallel to the increasing use of electronic cards, especially in the banking industry, the volume of transactions using these cards has grown rapidly. Moreover, the financial nature of these cards has led to the desirability of fraud in this area. The present study with Map Reduce approach and p...
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Format: | Article |
Language: | fas |
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University of Tehran
2016-10-01
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Series: | Journal of Information Technology Management |
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Online Access: | https://jitm.ut.ac.ir/article_57818_b29276e7cf5fa9d519b2b3ec7e4ffb8e.pdf |
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author | Mohammad Reza Taghva Taha Mansouri Kamran Feizi Babak Akhgar |
author_facet | Mohammad Reza Taghva Taha Mansouri Kamran Feizi Babak Akhgar |
author_sort | Mohammad Reza Taghva |
collection | DOAJ |
description | In parallel to the increasing use of electronic cards, especially in the banking industry, the volume of transactions using these cards has grown rapidly. Moreover, the financial nature of these cards has led to the desirability of fraud in this area. The present study with Map Reduce approach and parallel processing, applied the Kohonen neural network model to detect abnormalities in bank card transactions. For this purpose, firstly it was proposed to classify all transactions into the fraudulent and legal which showed better performance compared with other methods. In the next step, we transformed the Kohonen model into the form of parallel task which demonstrated appropriate performance in terms of time; as expected to be well implemented in transactions with Big Data assumptions. |
first_indexed | 2024-12-19T00:41:19Z |
format | Article |
id | doaj.art-374bfb15ec20424bbaa4ed14823115d1 |
institution | Directory Open Access Journal |
issn | 2008-5893 2423-5059 |
language | fas |
last_indexed | 2024-12-19T00:41:19Z |
publishDate | 2016-10-01 |
publisher | University of Tehran |
record_format | Article |
series | Journal of Information Technology Management |
spelling | doaj.art-374bfb15ec20424bbaa4ed14823115d12022-12-21T20:44:30ZfasUniversity of TehranJournal of Information Technology Management2008-58932423-50592016-10-018347749810.22059/jitm.2016.5781857818Fraud Detection in Credit Card Transactions; Using Parallel Processing of Anomalies in Big DataMohammad Reza Taghva0Taha Mansouri1Kamran Feizi2Babak Akhgar3Associate Prof, Faculty of Management and Accounting, Allameh Tabataba’i University, Tehran, IranPh.D. Candidate in Information Technology Management, Allameh Tabataba’i University, Tehran, IranProf, Faculty of Management and Accounting, Allameh Tabataba’i University, Tehran, IranProf, Sheffield Hallam University, Sheffield, EnglandIn parallel to the increasing use of electronic cards, especially in the banking industry, the volume of transactions using these cards has grown rapidly. Moreover, the financial nature of these cards has led to the desirability of fraud in this area. The present study with Map Reduce approach and parallel processing, applied the Kohonen neural network model to detect abnormalities in bank card transactions. For this purpose, firstly it was proposed to classify all transactions into the fraudulent and legal which showed better performance compared with other methods. In the next step, we transformed the Kohonen model into the form of parallel task which demonstrated appropriate performance in terms of time; as expected to be well implemented in transactions with Big Data assumptions.https://jitm.ut.ac.ir/article_57818_b29276e7cf5fa9d519b2b3ec7e4ffb8e.pdfBig dataCredit cardsFraud detectionKohonen neural network |
spellingShingle | Mohammad Reza Taghva Taha Mansouri Kamran Feizi Babak Akhgar Fraud Detection in Credit Card Transactions; Using Parallel Processing of Anomalies in Big Data Journal of Information Technology Management Big data Credit cards Fraud detection Kohonen neural network |
title | Fraud Detection in Credit Card Transactions; Using Parallel Processing of Anomalies
in Big Data |
title_full | Fraud Detection in Credit Card Transactions; Using Parallel Processing of Anomalies
in Big Data |
title_fullStr | Fraud Detection in Credit Card Transactions; Using Parallel Processing of Anomalies
in Big Data |
title_full_unstemmed | Fraud Detection in Credit Card Transactions; Using Parallel Processing of Anomalies
in Big Data |
title_short | Fraud Detection in Credit Card Transactions; Using Parallel Processing of Anomalies
in Big Data |
title_sort | fraud detection in credit card transactions using parallel processing of anomalies in big data |
topic | Big data Credit cards Fraud detection Kohonen neural network |
url | https://jitm.ut.ac.ir/article_57818_b29276e7cf5fa9d519b2b3ec7e4ffb8e.pdf |
work_keys_str_mv | AT mohammadrezataghva frauddetectionincreditcardtransactionsusingparallelprocessingofanomaliesinbigdata AT tahamansouri frauddetectionincreditcardtransactionsusingparallelprocessingofanomaliesinbigdata AT kamranfeizi frauddetectionincreditcardtransactionsusingparallelprocessingofanomaliesinbigdata AT babakakhgar frauddetectionincreditcardtransactionsusingparallelprocessingofanomaliesinbigdata |