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dc.contributor.authorFisher, Nathan
dc.contributor.authorTrevathan, Jarrod
dc.contributor.authorGray, Heather
dc.date.accessioned2019-12-05T03:59:59Z
dc.date.available2019-12-05T03:59:59Z
dc.date.issued2019
dc.identifier.issn2305-0012
dc.identifier.doi10.17781/p002570
dc.identifier.urihttp://hdl.handle.net/10072/389527
dc.description.abstractShill bidding is a fraudulent act whereby a seller places bids on his/her own auction to drive up the final price for the winning bidder. eBay currently masks bidder usernames in auctions and has adopted a 30-Day Bid Summary that restricts the availability of data on the previous auctions a bidder has participated in. This has made shill bidding detection more difficult, as tracking users across multiple auctions is essential in identifying shills. This paper presents two pieces of software to aid in the detection of shill bidding in light of masked bidder usernames and limited bid history data. First, we propose the Auction Data Collector to automatically acquire vital eBay auction data required for shill bidding detection. Second, we propose the BidderLinker Algorithm, which links bidders across multiple auctions they have bid on with the same seller by utilising the 30-Day Bid Summary. The 30-Day Bid Summary provides information about bidders that can be used to uniquely identify them, even if their usernames are masked. This allows for shill detection algorithms to be applied to the data gathered from multiple auctions with the same seller, where previously this was not possible.
dc.description.peerreviewedYes
dc.languageEnglish
dc.publisherThe Society of Digital Information and Wireless Communications (SDIWC)
dc.relation.ispartofpagefrom120
dc.relation.ispartofpageto133
dc.relation.ispartofissue2
dc.relation.ispartofjournalInternational Journal of Cyber-Security and Digital Forensics
dc.relation.ispartofvolume8
dc.subject.fieldofresearchInformation and Computing Sciences
dc.subject.fieldofresearchcode08
dc.titleDetecting Shill Bidding Using eBay’s 30-Day Bid Summary
dc.typeJournal article
dc.type.descriptionC1 - Articles
dcterms.bibliographicCitationFisher, N, Detecting Shill Bidding Using eBay’s 30-Day Bid Summary, International Journal of Cyber-Security and Digital Forensics, 2019, 8 (2), pp. 120-133
dc.date.updated2019-12-03T11:51:55Z
gro.rights.copyrightSelf-archiving of the author-manuscript version is not yet supported by this journal. Please refer to the journal link for access to the definitive, published version or contact the author[s] for more information.
gro.hasfulltextNo Full Text
gro.griffith.authorTrevathan, Jarrod
gro.griffith.authorGray, Heather L.


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