Machine Learning Approach to Handle Fraud Bids

Provided by: International Journal for Development of Computer Science & Technology (IJDCST)
Topic: Security
Format: PDF
Online auctions propelled ecommerce activities since they remove the limitations of traditional auctions such as location, presence, time, space, and a small target audience. As of 2013, top two players of the online auction industry alone contributed 28% to the overall ecommerce finances. This increase in popularity has also opened doors for unlawful activities within an auction process. Existing counter measures such as seller validations and activity classification using human experts is not efficient enough with around 40% success rate. So the authors propose a Bayesian driven online model framework for the binary response.

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