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Title:
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A REAL-TIME DETECTION OF SHILL BIDDING IN ONLINE AUCTION |
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Author(s):
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Nazia Majadi, Jarrod Trevathan, Neil Bergmann |
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ISBN:
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978-989-8533-60-9 |
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Editors:
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Piet Kommers and Pedro Isaías |
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Year:
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2017 |
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Edition:
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Single |
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Keywords:
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Auction fraud; bidding behaviours; live shill score; online auction; shill bidding |
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Type:
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Short Paper |
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First Page:
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229 |
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Last Page:
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233 |
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Language:
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English |
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Cover:
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Full Contents:
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click to dowload 
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Paper Abstract:
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Online auctions are popular and convenient way to engage in ecommerce. However, the amount of auction fraud increases with the rapid surge of users participating in online auctions. Shill bidding is the most prominent type of auction fraud where a seller submits bids to inflate the price of the item without the intention of winning. If the shill bidders are not detected during the auctions, the willing seller/buyer has already cheated by the end of the auction. Therefore, it is essential to detect and verify shill bidding in real-time auctions and take necessary steps according to the fraud activities. This paper proposes a Live Shill Score (LSS) algorithm for real-time detection of shill bidding in online auctions and takes appropriate actions to the shill bidders accordingly. Experimental result shows that our proposed algorithm can potentially detect shill bidding attempts before an auction ends. |
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