Architecture - Oriented Approach for Detecting Fraud in the Online Auction

Based on the researches, there is a high rate of fraudulent activities in the online auctions. For instance, this figure for 2008 was about $43M in the US. As a result it can be considered as a crucial problem. This issue has been always a concern of customers and users of the online auction. Due to interaction and mutual effects between Security and trust these two concepts need to be considered together. To increase security, trust and fraud prevention efforts, in the first step, it is vital to study the structures and frameworks of the online auction fraud deduction. The aim of this paper is to perform a case study on the architectures of online auction fraud detection. These architectures include separated models to trace the behavior of the auction and trace IP, user management, user security permissions or two-stage phased modeling framework procedure properties filtering on the evaluation is employed to detect the fraudsters.