Analysis on bidding behaviours for detecting shill bidders in online auctions

Majadi, Nazia , Trevathan, Jarrod and Bergmann, Neil (2017). Analysis on bidding behaviours for detecting shill bidders in online auctions. In: 2016 IEEE International Conference on Computer and Information Technology (CIT). IEEE International Conference on Computer and Information Technology (CIT), Nadi, Fiji, (383-390). Dec 08-10, 2016. doi:10.1109/CIT.2016.48


Author Majadi, Nazia
Trevathan, Jarrod
Bergmann, Neil
Title of paper Analysis on bidding behaviours for detecting shill bidders in online auctions
Conference name IEEE International Conference on Computer and Information Technology (CIT)
Conference location Nadi, Fiji
Conference dates Dec 08-10, 2016
Proceedings title 2016 IEEE International Conference on Computer and Information Technology (CIT)
Journal name 2016 Ieee International Conference On Computer and Information Technology (Cit)
Place of Publication NEW YORK
Publisher Institute of Electrical and Electronics Engineers
Publication Year 2017
Year available 2016
Sub-type Fully published paper
DOI 10.1109/CIT.2016.48
Open Access Status Not yet assessed
ISBN 9781509043149
9781509043156
Start page 383
End page 390
Total pages 8
Language eng
Abstract/Summary Online 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 fruads, 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.
Keyword Auction fraud
Bidding behaviours
Online auction
Reserve price shilling
Shill bidding
Q-Index Code E1
Q-Index Status Provisional Code
Institutional Status UQ

Document type: Conference Paper
Sub-type: Fully published paper
Collections: HERDC Pre-Audit
School of Information Technology and Electrical Engineering Publications
 
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Created: Tue, 25 Apr 2017, 00:26:36 EST by Web Cron on behalf of School of Political Science & Internat'l Studies