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http://dx.doi.org/10.13089/JKIISC.2015.25.6.1525

A Survey of Fraud Detection Research based on Transaction Analysis and Data Mining Technique  

Jeong, Seong Hoon (Graduate School of Information Security, Korea University)
Kim, Hana (Graduate School of Information Security, Korea University)
Shin, Youngsang (Korea Internet & Security Agency)
Lee, Taejin (Korea Internet & Security Agency)
Kim, Huy Kang (Graduate School of Information Security, Korea University)
Publication Information
Journal of the Korea Institute of Information Security & Cryptology / v.25, no.6, 2015 , pp. 1525-1540 More about this Journal
Abstract
Due to a rapid advancement in the electronic commerce technology, the payment method varies from cash to electronic settlement such as credit card, mobile payment and mobile application card. Therefore, financial fraud is increasing notably for a purpose of personal gain. In response, financial companies are building the FDS (Fraud Detection System) to protect consumers from fraudulent transactions. The one of the goals of FDS is identifying the fraudulent transaction with high accuracy by analyzing transaction data and personal information in real-time. Data mining techniques are providing great aid in financial accounting fraud detection, so it have been applied most extensively to provide primary solutions to the problems. In this paper, we try to provide an overview of the research on data mining based fraud detection. Also, we classify researches under few criteria such as data set, data mining algorithm and viewpoint of research.
Keywords
Survey; Categorization; Financial Fraud; Fraud Detection; Data Mining; Credit Card;
Citations & Related Records
Times Cited By KSCI : 2  (Citation Analysis)
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