Earticle

초록

영어

The past has focused on domestic transactions from the point of accident prevention on the basis of security. Of course, it is a problem that its security measures had been focused on the user terminal stage. By supplementing it now, securities business circles are expected to announce "None Face-To-Face Account Opening". Therefore, they have been introducing and advancing Fraud Detection System (FDS) that integrates log data from HTS (Home Trading system) and security system; models trading patterns; and detects and analyzes abnormal financial transactions based on the scenarios. Consider-ing such characteristics of securities business as ordering and transferring stocks or shares, the present study proposes trading patterns specialized in the business and detec-tion plan (decision making) after examine four major functions, patterns and detection of FDS.

목차

Abstract
 1. Introduction
 2. Related Works
  2.1. Key Functions of FDS and Abnormal Transaction Detection Model
  2.2. Detection Methods of FDS
 3. A Plan to Establish FDS
  3.1. Research System
  3.2. Studies on Detection Rules and Patterns
 4. Conclusions
 References

키워드

저자

• Gyoo-cheol Lee [ Dept. of IT Policy and Mgmt., Graduate School of Soongsil Univ., Seoul 156- 743, Korea ]
• Joonsik Jang [ Dept. of IT Policy and Mgmt., Graduate School of Soongsil Univ., Seoul 156- 743, Korea ]
• Se-jeong Park [ Graduate School of Software, Soongsil University, Sangdo-dong, Dongjak-gu, Seoul, Korea ]
• Yongtae Shin [ Graduate School of Software, Soongsil University, Sangdo-dong, Dongjak-gu, Seoul, Korea ]
• Jong-Bae Kim [ Graduate School of Software, Soongsil University, Sangdo-dong, Dongjak-gu, Seoul, Korea ] Corresponding author

참고문헌

발행기관

간행물

표지보기 관심저널 등록

• 간행물명

  International Journal of u- and e- Service, Science and Technology

• 간기

  격월간

• pISSN

  2005-4246

• 수록기간

  2008~2016

• 십진분류

  KDC 505 DDC 605