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Effective detection of sophisticated online banking fraud on extremely imbalanced data
Wei W., Li J., Cao L., Ou Y., Chen J. World Wide Web16 (4):449-475,2013.Type:Article
Date Reviewed: Nov 5 2013

The novel algorithm proposed in this academic paper aims to facilitate the online detection of banking fraud. While it is not a silver bullet, it does promise to be a useful tool. The paper is recommended reading for professionals involved in online security.

The study was conducted at the University of Technology, Sydney. Live data from a large Australian bank was used as the basis for the study, and experimental results are provided.

The conclusions show that the new algorithm detects more fraud than the existing tool, but it does not detect the same fraud that the existing tool detects. Thus, it is not the final answer to the problem of online banking fraud. Nevertheless, the paper is worthwhile reading for those with an interest in the area, and the algorithm would be a very useful addition to a bank’s security arsenal.

Reviewer:  Neil D. Burgess Review #: CR141698 (1403-0232)
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