African Journal of
Mathematics and Computer Science Research

  • Abbreviation: Afr. J. Math. Comput. Sci. Res.
  • Language: English
  • ISSN: 2006-9731
  • DOI: 10.5897/AJMCSR
  • Start Year: 2008
  • Published Articles: 225

Full Length Research Paper

A fraud detection tool in E-auctions

Tatenda D. Kavu
  • Tatenda D. Kavu
  • Department of ICT and Electronics, Chinhoyi University of Technology, Zimbabwe
  • Google Scholar
Talent Rugube
  • Talent Rugube
  • Department of ICT and Electronics, Chinhoyi University of Technology, Zimbabwe
  • Google Scholar
Francis Kawondera
  • Francis Kawondera
  • Department of ICT and Electronics, Chinhoyi University of Technology, Zimbabwe
  • Google Scholar
Nyika Chifamba
  • Nyika Chifamba
  • Department of ICT and Electronics, Chinhoyi University of Technology, Zimbabwe
  • Google Scholar


  •  Received: 10 February 2015
  •  Accepted: 08 October 2015
  •  Published: 31 January 2016

Abstract

Due to rapid growth of the use of online auctions, fraudsters have taken advantage of these platforms to participate in their own auctions in order to raise prices (a practice called shilling). Innocent bidders have been forced to pay higher prices than they were willing to offer. This has resulted in the need to design and implement a shill detection algorithm. To eliminate this shilling problem, we designed a shilling detection algorithm integrated with an online auction. The algorithm proved to be effective and it was tested on the internet, and the short time of shill detection proved that the algorithm can work real time on e-auctions with large user base. This method can be used as a technique to eliminate shilling.

 

Key words: E-auction, bidding, shilling, shill attributes, shill score.