Self-Payment Fraud Detection on Automated
Teller Machine
Volume 1 - Issue 1
Mohammad Hossein Barkhordari*
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- Information and Communication Technology Research Center, No. 5, Saeedi Alley, College Intersection, Iran
*Corresponding author:
Mohammad Hossein Barkhordari, Information and Communication Technology Research Center, No. 5,
Saeedi Alley, College Intersection, Iran
Received: September 22, 2018; Published: September 28, 2018
DOI:
10.32474/CTCSA.2018.01.000102
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Abstract
Over the past decade the amount of transactions and reported frauds on Automated Teller Machines (ATM) has significantly
increased. Various types of frauds have been reported around misusing ATM cards and many methods have been deployed to detect
and prevent them. In some countries, banks sell ATMs to investors under predefined circumstances and pay them in commission
in order to increase the availability of the service but some ATM owners have been found to create fake transactions to obtain
extra commissions. This paper attempts to detect such frauds using a two-stage method. In the first stage fraudulent customers
are detected by certain rules and in the second stage their accomplices are identified using transaction loop and cycle detection
algorithm. Transactions of an Iranian bank have been used to evaluate the proposed method and all detected fraudsters by system
were confirmed by bank fraud detection office.
Keywords: Fraud Detection; Cycle Detection; ATM Fraud Detection; Data warehouse
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