A Real-Time Detection Algorithm for Identifying Shill Bidders in Multiple Online Auctions
dc.contributor.author | Majadi, Nazia | |
dc.contributor.author | Trevathan, Jarrod | |
dc.date.accessioned | 2017-12-28T01:56:48Z | |
dc.date.available | 2017-12-28T01:56:48Z | |
dc.date.issued | 2018-01-03 | |
dc.description.abstract | Online auctions are highly susceptible to fraud. Shill bidding is where a seller introduces fake bids into an auction to drive up the final price. If the shill bidders are not detected in run-time, innocent bidders will have already been cheated by the time the auction ends. Therefore, it is necessary to detect shill bidders in real-time and take appropriate actions according to the fraud activities. This paper presents a real-time shill bidding detection algorithm to identify the presence of shill bidding in multiple online auctions. The algorithm provides each bidder a Live Shill Score (LSS) indicating the likelihood of their potential involvement in price inflating behavior. The LSS is calculated based on the bidding patterns over a live auction and past bidding history. We have tested our algorithm on data obtained from a series of realistic simulated auctions and also commercial online auctions. Experimental results show that the real-time detection algorithm is able to prune the search space required to detect which bidders are likely to be potential shill bidders. | |
dc.format.extent | 10 pages | |
dc.identifier.doi | 10.24251/HICSS.2018.482 | |
dc.identifier.isbn | 978-0-9981331-1-9 | |
dc.identifier.uri | http://hdl.handle.net/10125/50370 | |
dc.language.iso | eng | |
dc.relation.ispartof | Proceedings of the 51st Hawaii International Conference on System Sciences | |
dc.rights | Attribution-NonCommercial-NoDerivatives 4.0 International | |
dc.rights.uri | https://creativecommons.org/licenses/by-nc-nd/4.0/ | |
dc.subject | Social Shopping: The Good, the Bad and the Ugly | |
dc.subject | Auction fraud, Bidding behavior, Online auction, Live Shill Score, Shill bidding. | |
dc.title | A Real-Time Detection Algorithm for Identifying Shill Bidders in Multiple Online Auctions | |
dc.type | Conference Paper | |
dc.type.dcmi | Text |
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