Analysis of fraudulent behavior strategies in online auctions for detecting latent fraudsters

作者：

Highlights：

• A systematic method is developed to discover the fraudulent strategies in online auctions.

• A strategy is represented by a series of status transitions to provide better insights.

• Four types of fraud and 29 strategies are discovered.

• Status identification improves understanding the insights of auction fraud.

• A two-way status monitoring method is proposed to detect well-camouflaged fraudsters.

摘要

•A systematic method is developed to discover the fraudulent strategies in online auctions.•A strategy is represented by a series of status transitions to provide better insights.•Four types of fraud and 29 strategies are discovered.•Status identification improves understanding the insights of auction fraud.•A two-way status monitoring method is proposed to detect well-camouflaged fraudsters.

论文关键词：Early fraud detection,Behavior fluctuation,Clustering,Online auction,E-commerce

论文评审过程：Received 20 October 2012, Revised 28 August 2013, Accepted 28 October 2013, Available online 14 November 2013.

论文官网地址：https://doi.org/10.1016/j.elerap.2013.10.004