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