A Real-Time Detection Algorithm for Identifying Shill Bidders in Multiple Online Auctions
| Autor: | Jarrod Trevathan, Nazia Majadi |
|---|---|
| Rok vydání: | 2018 |
| Předmět: |
TheoryofComputation_MISCELLANEOUS
Computer science 020204 information systems 0202 electrical engineering electronic engineering information engineering TheoryofComputation_GENERAL Common value auction 020201 artificial intelligence & image processing 02 engineering and technology Bidding Space (commercial competition) Algorithm |
| Zdroj: | HICSS |
| ISSN: | 2572-6862 |
| DOI: | 10.24251/hicss.2018.482 |
| Popis: | 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. |
| Databáze: | OpenAIRE |
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