Decision Tree Induct-Based Shill Bidding Detection

Abstract

Fraud behaviors will seriously hinder the development of online auctions in the Internet financial age. To effectively deter fraud behavior, the decision tree induct method is applied in this paper to distinguish shill bidding from the normal behaviors. This method has strong system feasibility, visual analysis result and high representativeness. Application of this method to detecting shill bidding can provide essential theoretical support for design of network security strategy.