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dc.contributor.authorMajadi, Nazia
dc.contributor.authorTrevathan, Jarrod
dc.contributor.authorBergmann, Neil
dc.contributor.editorLisa OConner
dc.date.accessioned2017-07-04T03:52:39Z
dc.date.available2017-07-04T03:52:39Z
dc.date.issued2016
dc.identifier.isbn9781509043149
dc.identifier.doi10.1109/CIT.2016.48
dc.identifier.urihttp://hdl.handle.net/10072/341289
dc.description.abstractOnline auction is a popular electronic marketplace that allows buyers and sellers to purchase and sell products in an efficient way. In spite of popularity of online auctions, there are many fraudulent bidding or selling behaviours that can occur during an auction (e.g., shill bidding, bid shielding, etc.). Among auction frauds, shill bidding is one of the hardest types of auction fraud to detect. Researchers have developed fraud detection and prevention methods for combating such fraud. However, it is difficult to effectively identify and recognise bidding behaviours for detecting shill bidders in online auctions. This paper presents a brief overview of major research on bidding patterns for detecting shill bidders in online auctions. Moreover, our analysis result illustrates the characteristics of such bidding patterns represent strong signs of shill bidding when monitoring online auctions to combat this fraud. We also present case studies for identifying shill bidding behaviours in the datasets of eBay.
dc.description.peerreviewedYes
dc.languageEnglish
dc.publisherInstitute of Electrical and Electronics Engineers (IEEE)
dc.publisher.placeUnited States
dc.relation.ispartofconferencenameIEEE International Conference on Computer and Information Technology (CIT)
dc.relation.ispartofconferencetitle2016 IEEE INTERNATIONAL CONFERENCE ON COMPUTER AND INFORMATION TECHNOLOGY (CIT)
dc.relation.ispartofdatefrom2016-12-07
dc.relation.ispartofdateto2016-12-10
dc.relation.ispartoflocationNadi, FIJI
dc.relation.ispartofpagefrom383
dc.relation.ispartofpageto390
dc.subject.fieldofresearchInformation systems
dc.subject.fieldofresearchOther information and computing sciences not elsewhere classified
dc.subject.fieldofresearchcode4609
dc.subject.fieldofresearchcode469999
dc.titleAnalysis on bidding behaviours for detecting shill bidders in online auctions
dc.typeConference output
dc.type.descriptionE1 - Conferences
dc.type.codeE - Conference Publications
gro.facultyGriffith Sciences, School of Information and Communication Technology
gro.hasfulltextNo Full Text
gro.griffith.authorTrevathan, Jarrod


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    Contains papers delivered by Griffith authors at national and international conferences.

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