Inference of Online Auction Shills Using Dempster-Shafer Theory

Authors:
Fei Dong;Sol M. Shatz;Haiping Xu
Affiliations:
-;-;-
Venue:
ITNG '09 Proceedings of the 2009 Sixth International Conference on Information Technology: New Generations
Year:
2009

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Abstract

We present a shilling behavior detection and verification approach for online auction systems. Assuming a model checking technique to detect shill suspects in real-time, we focus on how to verify shill suspects using Dempster-Shafer theory of evidence. To demonstrate the feasibility of our approach, we provide a case study using real eBay auction data. The analysis results show that our approach can detect shills and that using Dempster-Shafer theory to combine multiple sources of evidence of shilling behavior can reduce the number of false positive results that would be generated from a single source of evidence.