Browse > Article
http://dx.doi.org/10.13089/JKIISC.2019.29.1.149

Study on Intelligence (AI) Detection Model about Telecommunication Finance Fraud Accident  

Jeong, Eui-seok (Graduate School of Information Security, Korea University)
Lim, Jong-in (Graduate School of Information Security, Korea University)
Publication Information
Journal of the Korea Institute of Information Security & Cryptology / v.29, no.1, 2019 , pp. 149-164 More about this Journal
Abstract
Digital Transformation and the Fourth Industrial Revolution, electronic financial services should be provided safely in accordance with rapidly changing technology changes in the times of change. However, telecommunication finance fraud (voice phishing) accidents are currently ongoing, and various efforts are being made to eradicate accidents such as legal amendment and improvement of policy system in order to cope with continuous increase, intelligence and advancement of accidents. In addition, financial institutions are trying to prevent fraudulent accidents by improving and upgrading the abnormal financial transaction detection system, but the results are not very clear. Despite these efforts, telecommunications and financial fraud incidents have evolved to evolve against countermeasures. In this paper, we propose an intelligent over - the - counter financial transaction system modeled through scenario - based Rule model and artificial intelligence algorithm to prevent financial transaction accidents by voice phishing. We propose an implementation model of artificial intelligence abnormal financial transaction detection system and an optimized countermeasure model that can block and respond to analysis and detection results.
Keywords
AI; Fraud Detection System;
Citations & Related Records
Times Cited By KSCI : 3  (Citation Analysis)
연도 인용수 순위
1 Financial Supervisory Service, "Status and supervision of abnormal financial transaction detection system of banks and securities companies in 2017", Jun. 2018
2 Wikipedia, https://wikitech.wikimedia.org/wiki/Logstash
3 Apache, https://kafka.apache.org/
4 Wikipedia, https://wikitech.wikimedia.org/wiki/Redis
5 Wikipedia, https://ko.wikipedia.org/
6 Namuwiki, https://namu.wiki/w/텐서플로우/
7 Namuwiki, https://namu.wiki/w/크로스플랫폼
8 Financial Supervisory Service, "FDS technical guide", Aug. 2014
9 LeCun,y., "Gradient-based learning applied to document recognition", Preceedings of the IEEE, 86(11), pp. 2278-2324, Nov. 1998   DOI
10 Financial Supervisory Service, National Police Agency, "Voice phishing guard Announcement statistics", Sep. 2018
11 T. Sainath et al., "Convolutional neural networks for LVCSR," ICASSP, 2013.
12 FSC(Financial Services Commission), "Financial Security Comprehensive Plan", , Vow. 2013.
13 FSS(Financial Supervisory Service), "FDS upgrade oadmap for financial industry", Dec. 2014
14 Jung K.E., Kim Y.R., Min Y.K., "Application of Psychological Triggers to Voice Phishing : Focusing on Social Engineering", Social Science Research, Volume 28, Issue 4, 181-194 (14 pages), Oct. 2017
15 Choi E.S., Lee K.H, "A Study on Improvement of Effectiveness Using Anomaly Analysis rule modification in Electronic Finance Trading", Journal of the Korea Institute of Information Security & Cryptology, 25(3), pp. 615-625 (11 pages), Jun. 2015.   DOI
16 Park E.Y., Yoon J.W., "A Study of Accident Prevention Effect through Anomaly Analysis in E-Banking", The Journal of Society for e-Business Studies, Vol.19, No.4, pp.119-134, November 2014   DOI
17 Yoon H.S., Kim Y.G., "A Study on Specific Prevention Methods for Voice Phishing Damage Types", The Supreme Prosecutors' Office report, 2017.
18 Yoon H.S., Kwak D.K., "Study on Prevention and Countermeasure of Voice Phishing", Criminal Policy Institute Research Series, pp. 9-118., Dec. 2009
19 Cho H.D., "Voice Phishing Occurrence and Counterplan", The Korea Contents Society, 12(7), pp. 176-182, Dec. 2012   DOI
20 Shin S.C., "An Analysis on the Activities of Taiwanese Voice Phishing Crime Organizations in Korea", Asian Research, 21(3), pp. 151-191, Aug. 2018
21 Financial Supervisory Service, National Police Agency, "Voice phishing guard Announcement statistics", Feb. 2018