A Profiled Malicious Bidder Behavior Model Based on SOM Algorithm

Since malicious shill bidding behaviors changes frequently, we need a profiling mechanism to profile malicious bidders´ behaviors. In this study, we apply the self-organizing map (SOM) based on shilling features to propose a profiled malicious bidder behavior model. Via this model, the auctioneer can realize the changed malicious bidder behaviors and devise detection method for detecting malicious bidder by the profiled malicious behaviors.