An Enhance Mechanism to Recognize Shill Bidders in Real-Time Auctioning System

Abstract

Online auction in auctioneers or bidders sell or bid for products or services through the Internet. The person who bids the highest price, the seller sells the product to that person. An online auction is also known as a virtual auction. Fraud in online auctions is one of the most commonly reported online frauds. Shill bidding is the most prominent auction fraud in online auctioning. The best way to find shill bidding at that time is to reduce the chances of getting a thing by a shill bidder. We will remove the inaccurate data by data cleaning methods and securely check winner again by verifying generated tokens and reduce chances of fake winner. We will update the existing shill bidders finding method with a new mechanism. To deal with fraud bidding data, we will pick the most pertinent performance mechanism. Experimental result shows that the algorithm is able to provide the security and also detect the shill bidders in real-time auctioning.