Detecting shill bidding in online english auctions

No Thumbnail Available
File version
Author(s)
Trevathan, J
Read, W
Griffith University Author(s)
Primary Supervisor
Other Supervisors
Editor(s)
Date
2008
Size
File type(s)
Location
License
Abstract

Shill bidding is where spurious bids are introduced into an auction to drive up the final price for the seller, thereby defrauding legitimate bidders. While shilling is recognized as a problem, presently there is little or no established means of defense against shills. This chapter presents an algorithm to detect the presence of shill bidding in online auctions. It observes bidding patterns over a series of auctions, providing each bidder a score indicating the likelihood of his/her potential involvement in shill behavior. The algorithm has been tested on data obtained from a series of realistic simulated auctions, and commercial online auctions. The algorithm is able to prune the search space required to detect which bidders are likely to be shills. This has significant practical and legal implications for commercial online auctions where shilling is considered a major threat. This chapter presents a framework for a feasible solution, which acts as a detection mechanism and a deterrent. © 2009, IGI Global.

Journal Title
Conference Title
Book Title

Handbook of Research on Social and Organizational Liabilities in Information Security

Edition
Volume
Issue
Thesis Type
Degree Program
School
Publisher link
Patent number
Funder(s)
Grant identifier(s)
Rights Statement
Rights Statement
Item Access Status
Note
Access the data
Related item(s)
Subject
Persistent link to this record
Citation

Trevathan, J; Read, W, Detecting shill bidding in online english auctions, Handbook of Research on Social and Organizational Liabilities in Information Security, 2008, pp. 446-470

Collections