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http://dx.doi.org/10.15207/JKCS.2017.8.4.019

A Study on Implementation of Fraud Detection System (FDS) Applying BigData Platform  

Kang, Jae-Goo (Dept. of Smart Convergence Consulting, Hansung University)
Lee, Ji-Yean (Dept. of Smart Convergence Consulting, Hansung University)
You, Yen-Yoo (Dept. of Knowledge Service & Consulting, Hansung University)
Publication Information
Journal of the Korea Convergence Society / v.8, no.4, 2017 , pp. 19-24 More about this Journal
Abstract
The growing number of electronic financial transactions (e-banking) has entailed the rapid increase in security threats such as extortion and falsification of financial transaction data. Against such background, rigid security and countermeasures to hedge against such problems have risen as urgent tasks. Thus, this study aims to implement an improved case model by applying the Fraud Detection System (hereinafter, FDS) in a financial corporation 'A' using big data technique (e.g. the function to collect/store various types of typical/atypical financial transaction event data in real time regarding the external intrusion, outflow of internal data, and fraud financial transactions). As a result, There was reduction effect in terms of previous scenario detection target by minimizing false alarm via advanced scenario analysis. And further suggest the future direction of the enhanced FDS.
Keywords
FDS(Fraud Detection System); Bigdata; E-Banking; Financial IT Convergence; Financial Security;
Citations & Related Records
Times Cited By KSCI : 5  (Citation Analysis)
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