원문정보
보안공학연구지원센터(IJSIA)
International Journal of Security and Its Applications
Vol.10 No.2
2016.02
pp.247-254
피인용수 : 0건 (자료제공 : 네이버학술정보)
초록
영어
This thesis proposes a method to detect sophisticated electronic financial frauds using SVDD. The financial industry detects electronic financial frauds using FDS, but its false positive rate is high enough to require additional authentications. It causes customers inconveniences and does not detect those sophisticated financial frauds. In order to resolve the aforementioned issues, this study proposes a method to detect such potential frauds by profiling and vectorizing user activities and device information by SVDD.
목차
Abstract
1. Introduction
2. Data Profiling of Financial Transaction
2.1 Categorizing Detection of Existing Financial Frauds
2.2 Profiling to Detect Financial Frauds
3. Detecting Financial Frauds using SVDD
3.1 Steps to Detect Financial Frauds
3.2 Optimization of Feature
4. Evaluation of SVDD-based FDS
4.1. Evaluation Criteria
4.2. Evaluation Result
5. Conclusion
References
1. Introduction
2. Data Profiling of Financial Transaction
2.1 Categorizing Detection of Existing Financial Frauds
2.2 Profiling to Detect Financial Frauds
3. Detecting Financial Frauds using SVDD
3.1 Steps to Detect Financial Frauds
3.2 Optimization of Feature
4. Evaluation of SVDD-based FDS
4.1. Evaluation Criteria
4.2. Evaluation Result
5. Conclusion
References
저자정보
참고문헌
자료제공 : 네이버학술정보