Detection of Fraudulent Sellers in Online Marketplaces using Support Vector Machine Approach

  IJETT-book-cover  International Journal of Engineering Trends and Technology (IJETT)          
© 2018 by IJETT Journal
Volume-57 Number-1
Year of Publication : 2018
Authors : Shini Renjith
DOI :  10.14445/22315381/IJETT-V57P210


Shini Renjith "Detection of Fraudulent Sellers in Online Marketplaces using Support Vector Machine Approach", International Journal of Engineering Trends and Technology (IJETT), V57(1),48-53 March 2018. ISSN:2231-5381. published by seventh sense research group

The e-commerce share in the global retail spend is showing a steady increase over the years indicating an evident shift of consumer attention from bricks and mortar to clicks in retail sector. In recent years, online marketplaces have become one of the key contributors to this growth. As the business model matures, the number and types of frauds getting reported in the area is also growing on a daily basis. Fraudulent e-commerce buyers and their transactions are being studied in detail and multiple strategies to control and prevent them are discussed. Another area of fraud happening in marketplaces are on the seller side and is called merchant fraud. Goods/services offered and sold at cheap rates, but never shipped is a simple example of this type of fraud. This paper attempts to suggest a framework to detect such fraudulent sellers with the help of machine learning techniques. The model leverages the historic data from the marketplace and detect any possible fraudulent behaviours from sellers and alert to the marketplace.

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Online Marketplace, Fraud Detection, Machine Learning, Supervised Learning, Support Vector Machines.