Shill Bidder Detection for Online Auctions

  • Tsuyoshi Yoshida
  • Hayato Ohwada
Part of the Lecture Notes in Computer Science book series (LNCS, volume 6230)

Abstract

Recently, the online auction has become a popular Internet service. Since the service has been expanded rapidly, security risks in the system remain. Fundamental measures are still required. This paper proposes a method for detecting shill bidders in online auctions. It first detects outliers with a one-class SVM. It then transforms the results into a decision tree using C4.5. The experiment results demonstrate that we can use the resulting rules to classify shill bidders.

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Copyright information

© Springer-Verlag Berlin Heidelberg 2010

Authors and Affiliations

  • Tsuyoshi Yoshida
    • 1
  • Hayato Ohwada
    • 1
  1. 1.Department of Industrial Administration, Faculty of Science and Technology, Research Institute for Science and TechnologyTokyo University of ScienceJapan

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