期刊名称：International Journal of Security and Its Applications
印刷版ISSN：1738-9976
出版年度：2016
卷号：10
期号：2
页码：247-254
DOI：10.14257/ijsia.2016.10.2.22
出版社：SERSC
摘要：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.
