Paper Info
Title
An Empirical Analysis of Fraud Detection in Online Auctions: Credit Card Phantom Transaction
Abstract
The online auction is a well-known business model that shows how business can be changed with the aid of new technologies. On the other hand, although the online auction allows buyers to find a wider variety of items and helps sellers to extend to literally millions of buyers, it is also accompanying by a great deal of online auction fraud through the information asymmetry and anonymity problems. As serious online fraud, we deal with the online credit card phantom transaction, which is a fake transaction by the collusion of the seller and buyer using credit card. Basically it is illegal online loan sharking which incurs various social and economic costs: tax evasion, the development of a black-market for the loan service, destruction of debtor's (buyer) financial condition due to the excessively high interest rate. In this paper, we investigated the factors necessary to detect phantom transaction. Based on the studies that have explored the behaviors of buyers and sellers in online auctions, we used the followings as the independent variables: starting bid, auction length, bid count, bid increment, and seller credit. Through empirical bidding data analysis, our logistic regression model suggests the use of 'starting bid', 'auction length' and 'seller credit' as important factors for detection of phantom transaction
Year
DOI
Venue
2007
10.1109/HICSS.2007.61
HICSS
Keywords
Field
DocType
illegal online loan sharking,seller credit,fraud detection,online auction fraud,credit transactions,logistic regression model,empirical analysis,online credit card,auction length,serious online fraud,fraud,online auctions,bid increment,credit card phantom transaction,bid count,electronic commerce,online auction,phantom transaction,information asymmetry,business model,data analysis,interest rate
Bid shading,English auction,Auction sniping,Unique bid auction,Computer science,Eauction,Microeconomics,Knowledge management,Commerce,Proxy bid,Reverse auction,Forward auction
Conference
ISSN
ISBN
Citations 
1530-1605 E-ISBN : 0-7695-2755-8
0-7695-2755-8
6
PageRank 
References 
Authors
0.51
10
4
Name
Order
Citations
PageRank
Myungsin Chae1784.55
Seonyoung Shim2354.94
Hyungjun Cho31048.44
Byungtae Lee440158.02