Survey: Combating online in-auction fraud: Clues, techniques and challenges

  • Authors:

  • Fei Dong;Sol M. Shatz;Haiping Xu

  • Affiliations:

  • Department of Computer Science, University of Illinois at Chicago, Chicago, IL 60607, USA;Department of Computer Science, University of Illinois at Chicago, Chicago, IL 60607, USA;Computer and Information Science Department, University of Massachusetts Dartmouth, North Dartmouth, MA 02747, USA

  • Venue:
  • Computer Science Review
  • Year:
  • 2009

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Abstract

The number of Internet auction shoppers is rapidly growing. However, online auction customers may suffer from auction fraud, sometimes without even noticing it. In-auction fraud differs from pre- and post-auction fraud in that it happens in the bidding period of an active auction. Since the in-auction fraud strategies are subtle and complex, it makes the fraudulent behavior more difficult to discover. Researchers from disciplines such as computer science and economics have proposed a number of methods to deal with in-auction fraud. In this paper, we summarize commonly seen indicators of in-auction fraud, provide a review of significant contributions in the literature of Internet in-auction fraud, and identify future challenging research tasks.