Analysis on Bidding Behaviours for Detecting Shill Bidders in Online Auctions
| Autor: | Nazia Majadi, Jarrod Trevathan, Neil W. Bergmann |
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| Rok vydání: | 2016 |
| Předmět: |
TheoryofComputation_MISCELLANEOUS
Forward auction Computer science business.industry Internet privacy TheoryofComputation_GENERAL Information technology 0102 computer and information sciences 02 engineering and technology Bidding 01 natural sciences Ebidding 010201 computation theory & mathematics Auction sniping 0202 electrical engineering electronic engineering information engineering Spite ComputingMilieux_COMPUTERSANDSOCIETY Common value auction 020201 artificial intelligence & image processing business |
| Zdroj: | CIT |
| DOI: | 10.1109/cit.2016.48 |
| Popis: | Online auction is a popular electronic marketplacethat allows buyers and sellers to purchase and sell productsin an efficient way. In spite of popularity of online auctions, there are many fraudulent bidding or selling behaviours that canoccur during an auction (e.g., shill bidding, bid shielding, etc.).Among auction fruads, shill bidding is one of the hardest typesof auction fraud to detect. Researchers have developed frauddetection and prevention methods for combating such fraud. However, it is difficult to effectively identify and recognise biddingbehaviours for detecting shill bidders in online auctions. Thispaper presents a brief overview of major research on biddingpatterns for detecting shill bidders in online auctions. Moreover, our analysis result illustrates the characteristics of such biddingpatterns represent strong signs of shill bidding when monitoringonline auctions to combat this fraud. We also present case studiesfor identifying shill bidding behaviours in the datasets of eBay. |
| Databáze: | OpenAIRE |
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