Author(s): Ory Samorodnitzky, Eran Tromer, Avishai Wool

Download: Paper (PDF)

Date: 24 Apr 2013

Document Type: Presentations

Additional Documents: Slides

Associated Event: NDSS Symposium 2013

Abstract:

Unique-Bid auction sites have gained popularity on the Internet in recent years. Using data extracted from such a site, we constructed an agent-based model simulating users’ bidding behaviors. We designed several automated winning strategies that performed well in the simulated environment. Finally, we demonstrated one strategy against a commercial auction site, achieving a 91% win rate and over 1000GBP profit.