TY - GEN
T1 - Toward a comprehensive model in internet auction fraud detection
AU - Zhang, Bin
AU - Zhou, Yi
AU - Faloutsos, Christos
PY - 2008
Y1 - 2008
N2 - Fraud detection has become a common concern of the online auction websites. Fraudsters often manipulate reputation systems and commit non-delivery fraud. To deal with fraud in group behavior we consider network level features, such as users' beliefs of other users. In this paper we use the loopy belief propagation algorithm and apply it to network level fraud detection, classifying fraudsters, accomplices, as well as honest users. Our method shows good classification accuracy using real data.
AB - Fraud detection has become a common concern of the online auction websites. Fraudsters often manipulate reputation systems and commit non-delivery fraud. To deal with fraud in group behavior we consider network level features, such as users' beliefs of other users. In this paper we use the loopy belief propagation algorithm and apply it to network level fraud detection, classifying fraudsters, accomplices, as well as honest users. Our method shows good classification accuracy using real data.
UR - http://www.scopus.com/inward/record.url?scp=51449105967&partnerID=8YFLogxK
UR - http://www.scopus.com/inward/citedby.url?scp=51449105967&partnerID=8YFLogxK
U2 - 10.1109/HICSS.2008.455
DO - 10.1109/HICSS.2008.455
M3 - Conference contribution
AN - SCOPUS:51449105967
SN - 0769530753
SN - 9780769530758
T3 - Proceedings of the Annual Hawaii International Conference on System Sciences
BT - Proceedings of the 41st Annual Hawaii International Conference on System Sciences 2008, HICSS
T2 - 41st Annual Hawaii International Conference on System Sciences 2008, HICSS
Y2 - 7 January 2008 through 10 January 2008
ER -