African Journal of Mathematics and Computer Science Research
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Article Number - 9184A4C56844


Vol.9(1), pp. 1-11 , January 2016
DOI: 10.5897/AJMCSR2015.0593
ISSN: 2006-9731



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

Copyright © 2016 Author(s) retain the copyright of this article.
This article is published under the terms of the Creative Commons Attribution License 4.0


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.

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APA Kavu, T. D., Rugube, T., Kawondera, F., & Chifamba, N. (2016). A fraud detection tool in E-auctions. African Journal of Mathematics and Computer Science Research, 9(1), 1-11.
Chicago Tatenda D. Kavu, Talent Rugube, Francis Kawondera and Nyika Chifamba. "A fraud detection tool in E-auctions." African Journal of Mathematics and Computer Science Research 9, no. 1 (2016): 1-11.
MLA Tatenda D. Kavu, et al. "A fraud detection tool in E-auctions." African Journal of Mathematics and Computer Science Research 9.1 (2016): 1-11.
   
DOI 10.5897/AJMCSR2015.0593
URL http://academicjournals.org/journal/AJMCSR/article-abstract/9184A4C56844

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