Fraud detection in electronic auction Export

@inproceedings{citeulike:3749247, 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}, author = {Chau, Duen H. and Faloutsos, Christos}, booktitle = {In European Web Mining Forum at ECML/PKDD}, citeulike-article-id = {3749247}, citeulike-linkout-0 = {http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.88.2438}, keywords = {ebay, fraud}, posted-at = {2008-12-05 00:20:09}, priority = {2}, title = {Fraud detection in electronic auction}, url = {http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.88.2438}, year = {2005} }

TY - CONF ID - citeulike:3749247 L3 - citeulike-article-id:3749247 N2 - 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 TI - Fraud detection in electronic auction T2 - In European Web Mining Forum at ECML/PKDD KW - ebay KW - fraud AU - Chau, Duen AU - Faloutsos, Christos PY - 2005/// UR - http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.88.2438 ER -