1. FRAUD DETECTION AND PREVENTION USING GOTCHA MODEL

Authors -  Usha Nandini, Dr. R. Maruthi

Abstract :  In the last decade, the benefit of online payment has opened several new opportunities for e-commerce, lowering the geographical boundaries for retail. While e-commerce continues to be gaining quality, it's additionally the playground of fraudsters UN agency try to misuse the transparency of online purchases and also the transfer of master-card records. We establish GOTCHA! A new method on how to describe and take out features from a time-weighted network, and how to develop and integrate network-based and intrinsic quality in fraud detection (FD). The grouping of all features (i.e., intrinsic and network features) is fed to the machine learning methods. This is the Gotcha! Model. As the formation of network features drastically increases the number of features to learn from, all together methods like Random Forest are used to train the models.
Keywords : OTB, FD, Gotcha, Dot-NetB(DN).

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ISSN (Online): 2348-3105 | ISSN (Print): 2347-6729
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