Undesirable and fraudulent behaviour in online auctions
Trevathan, Jarrod, and Read, Wayne (2006) Undesirable and fraudulent behaviour in online auctions. In: Proceedings of the International Conference on Security and Cryptography Secrypt 2006, pp. 450-458. From: Secrypt 2006 International Conference on Security and Cryptography, 7-10 August 2006, Setubal, Portugal.
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Online auctions are a popular means for exchanging items over the Internet. However, are many inherent security and fairness concerns. Participants can behave in an undesirable and fraudulent manner in an attempt to gain an advantage at the expense of rivals. For example, a bidder might seek to suppress the price by bid sniping, or the seller could introduce fake bids to inflate the price. In addition, an outsider or rival seller can lure away bidders by directly offering them better deals, or a malicious seller can auction mis-represented or non-existent items. This conduct is a problem as it results in market failure, thereby inhibiting the usefulness of online auctions as an exchange medium. While cryptography has been used to provide security in terms of bid authentication and privacy, there is no documented means to prevent many of the aforementioned problems. This paper investigates undesirable and fraudulent behaviour in online auctions. We examine the following practices: bid shielding, shill bidding, bid sniping, siphoning and selling non-existent or misrepresented items. We describe the characteristics of such behaviour and how to identify it in an auction. We also provide recommendations for recourse against undesirable and fraudulent participants.
|Item Type:||Conference Item (Refereed Research Paper - E1)|
|Keywords:||shilling; siphoning; bid shielding; misrepresented items; feedback systems; sniping; non-existent/misrepresented items|
|Date Deposited:||11 Sep 2009 05:48|
|SEO Codes:||89 INFORMATION AND COMMUNICATION SERVICES > 8999 Other Information and Communication Services > 899999 Information and Communication Services not elsewhere classified @ 100%|
|Citation Count from Web of Science||