%0 Conference Paper %1 Chau2005Fraud %A Chau, Duen H. %A Faloutsos, Christos %B In European Web Mining Forum at ECML/PKDD %D 2005 %K ebay fraud %T Fraud detection in electronic auction %U http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.88.2438 %X Abstract. Auction frauds plague electronic auction websites. Unfortunately, no literature has tried to formulate and solve the problem. This paper aims to tackle it by suggesting a novel method to detect auction fraudsters, which involves determining and extracting characteristic features from exposed fraudsters, through analyzing the fraudsters ’ transaction history which exists as a graph. We then use the features for detecting other potential fraudsters. Choosing the best features is a challenging and non-trivial task; however, with the features that we have currently selected, our method has already achieved a precision of 82 \% and a recall of 83 \% during an evaluation on some real test data from eBay. To demonstrate how our method can be used in real-world, we have developed a working Java prototype system which allows users to query the legitimacy of eBay users using our method. 1

@inproceedings{Chau2005Fraud, abstract = {Abstract. Auction frauds plague electronic auction websites. Unfortunately, no literature has tried to formulate and solve the problem. This paper aims to tackle it by suggesting a novel method to detect auction fraudsters, which involves determining and extracting characteristic features from exposed fraudsters, through analyzing the fraudsters ’ transaction history which exists as a graph. We then use the features for detecting other potential fraudsters. Choosing the best features is a challenging and non-trivial task; however, with the features that we have currently selected, our method has already achieved a precision of 82 \% and a recall of 83 \% during an evaluation on some real test data from eBay. To demonstrate how our method can be used in real-world, we have developed a working Java prototype system which allows users to query the legitimacy of eBay users using our method. 1}, added-at = {2008-12-09T03:00:06.000+0100}, author = {Chau, Duen H. and Faloutsos, Christos}, biburl = {https://www.bibsonomy.org/bibtex/2b5a49505228eea598111895bafd1ea0f/jamesh}, booktitle = {In European Web Mining Forum at ECML/PKDD}, citeulike-article-id = {3749247}, interhash = {398e241b9a5b856202d1c6f9df30c84c}, intrahash = {b5a49505228eea598111895bafd1ea0f}, keywords = {ebay fraud}, posted-at = {2008-12-05 00:20:09}, priority = {2}, timestamp = {2008-12-09T09:59:02.000+0100}, title = {Fraud detection in electronic auction}, url = {http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.88.2438}, year = 2005 }