Identifying Shill Bidder Presence in Online Auction Using Dynamic Detection Strategy

Shill bidding is an act of intentionally raising an item's price and has been planned by the seller and shill bidders to make the seller get a higher profit. The shill score calculation method, which uses behavioral ratings in its detection process, is developed to prevent this problem from getting any worse. The method mentioned above may sound effective in solving the issues. Even so, detection of shill bidding can be manipulated by colluding actions to make these activities remain undetected. As the problem grows, there will also be many solutions to discover. In accordance with the statement, the collusion score calculation method is found to be capable of uncovering malicious actions. In this paper, researchers use the dynamic detection strategy, a combination of the shill score calculation method and the collusion score calculation method. This dynamic method is developed to fulfill the expectation of creating a more advanced shill detection strategy that gives more flexibility and accuracy in its processes and results. Using simulated auction data, it is proven that the dynamic detection method has succeeded in detecting shill bidding and collusive shill bidding.