A Run-Time Algorithm for Detecting Shill Bidding in Online Auctions

Abstract: Online auctions are a popular and convenient way to engage in ecommerce. However, the amount of auction fraud has increased 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 p...

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Autores principales:	Majadi,Nazia, Trevathan,Jarrod, Gray,Heather
Lenguaje:	English
Publicado:	Universidad de Talca 2018
Materias:	Auction fraud Bidding behaviour Live shill score Online auction Post-filtering process Shill bidding.
Acceso en línea:	http://www.scielo.cl/scielo.php?script=sci_arttext&pid=S0718-18762018000300103
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spelling	oai:scielo:S0718-187620180003001032018-12-10A Run-Time Algorithm for Detecting Shill Bidding in Online AuctionsMajadi,NaziaTrevathan,JarrodGray,Heather Auction fraud Bidding behaviour Live shill score Online auction Post-filtering process Shill bidding. Abstract: Online auctions are a popular and convenient way to engage in ecommerce. However, the amount of auction fraud has increased 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. Mechanisms have been proposed to detect shill bidding once an auction has finished. However, if the shill bidder is not detected during the auction, an innocent bidder can potentially be cheated by the end of the auction. Therefore, it is essential to detect and verify shill bidding in a running auction and take necessary intervention steps accordingly. This paper proposes a run-time statistical algorithm, referred to as the Live Shill Score, for detecting shill bidding in online auctions and takes appropriate actions towards the suspected shill bidders (e.g., issue a warning message, suspend the auction, etc.). The Live Shill Score algorithm also uses a Post-Filtering Process to avoid misclassification of innocent bidders. Experimental results using both simulated and commercial auction data show that our proposed algorithm can potentially detect shill bidding attempts before an auction ends.info:eu-repo/semantics/openAccessUniversidad de TalcaJournal of theoretical and applied electronic commerce research v.13 n.3 20182018-01-01text/htmlhttp://www.scielo.cl/scielo.php?script=sci_arttext&pid=S0718-18762018000300103en10.4067/S0718-18762018000300103
institution	Scielo Chile
collection	Scielo Chile
language	English
topic	Auction fraud Bidding behaviour Live shill score Online auction Post-filtering process Shill bidding.
spellingShingle	Auction fraud Bidding behaviour Live shill score Online auction Post-filtering process Shill bidding. Majadi,Nazia Trevathan,Jarrod Gray,Heather A Run-Time Algorithm for Detecting Shill Bidding in Online Auctions
description	Abstract: Online auctions are a popular and convenient way to engage in ecommerce. However, the amount of auction fraud has increased 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. Mechanisms have been proposed to detect shill bidding once an auction has finished. However, if the shill bidder is not detected during the auction, an innocent bidder can potentially be cheated by the end of the auction. Therefore, it is essential to detect and verify shill bidding in a running auction and take necessary intervention steps accordingly. This paper proposes a run-time statistical algorithm, referred to as the Live Shill Score, for detecting shill bidding in online auctions and takes appropriate actions towards the suspected shill bidders (e.g., issue a warning message, suspend the auction, etc.). The Live Shill Score algorithm also uses a Post-Filtering Process to avoid misclassification of innocent bidders. Experimental results using both simulated and commercial auction data show that our proposed algorithm can potentially detect shill bidding attempts before an auction ends.
author	Majadi,Nazia Trevathan,Jarrod Gray,Heather
author_facet	Majadi,Nazia Trevathan,Jarrod Gray,Heather
author_sort	Majadi,Nazia
title	A Run-Time Algorithm for Detecting Shill Bidding in Online Auctions
title_short	A Run-Time Algorithm for Detecting Shill Bidding in Online Auctions
title_full	A Run-Time Algorithm for Detecting Shill Bidding in Online Auctions
title_fullStr	A Run-Time Algorithm for Detecting Shill Bidding in Online Auctions
title_full_unstemmed	A Run-Time Algorithm for Detecting Shill Bidding in Online Auctions
title_sort	run-time algorithm for detecting shill bidding in online auctions
publisher	Universidad de Talca
publishDate	2018
url	http://www.scielo.cl/scielo.php?script=sci_arttext&pid=S0718-18762018000300103
work_keys_str_mv	AT majadinazia aruntimealgorithmfordetectingshillbiddinginonlineauctions AT trevathanjarrod aruntimealgorithmfordetectingshillbiddinginonlineauctions AT grayheather aruntimealgorithmfordetectingshillbiddinginonlineauctions AT majadinazia runtimealgorithmfordetectingshillbiddinginonlineauctions AT trevathanjarrod runtimealgorithmfordetectingshillbiddinginonlineauctions AT grayheather runtimealgorithmfordetectingshillbiddinginonlineauctions
_version_	1714202230104522752

A Run-Time Algorithm for Detecting Shill Bidding in Online Auctions

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