Online Auction Fraud Detection
Journal Title: International Journal of engineering Research and Applications - Year 2018, Vol 8, Issue 4
Abstract
Online Auction Fraud Detection System Based On The Idea Of The Online Fraud Detection In E-Commerce Websites. In The Current Scenario Of Digital World, The Use Of Internet Is Evident In Each Task. As Every Work Is Done Smoothly And In A Hassle-Free Way Over The Internet, Things Like Shopping And Auction Have Been Taken Over By The Same Field. However, The Online Activities Give Rise To Criminal Approach To Gain Information From The Users And Take Illegal Advantage Of It. To Regulate The Issue, FraudDetection Moderation Systems Are Commonly Applied To Detect And Prevent Fraud Applications And Practice. Our Project Is About An Online Probity Model Framework, Which Includes Online Feature Selection, Coefficient Bounds From Human Knowledge, And Multiple Instances Learning Into Account Simultaneously. The Best Thing About This Idea Is, Firstly, It Can Potentially Detect More Frauds And Significantly Reduce Customer Complaints Compared To Several Base Line Models And The Human-Tuned Rule-Based System And Secondly, We Have Designed The Application Keeping The Real-World Online Auction And Fraud Detection Data In Our Mind.
Authors and Affiliations
Sonali Khairnar, Ashwini Khedkar, Harshal Nakil
Keywords
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