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Paper Details
Paper Title
Fraud Recognition And Uniquely Designed System (F.R.A.U.D.S)
Authors
Harshal Jayant Jagtap, Ruchit Kaushik Sangoi
Abstract
Interestingly, most people have a different take on digital banking. There is a lot more to digital banking than just a few features that we can see on the surface. Digital banking is converting the brick and mortar banks into more secure and efficient places to operate. Online Credit Card Fraud occurs when the user provides their information to the unknown persons or stolen by the unauthorized person, this information can be used for the unauthorized online purchase or for accessing the credentials. Financial institutions all over the world lose billions due to credit card fraud, which necessitates the use of credit card fraud prevention. Several models have been proposed in the literature, however, the accuracy of the model is crucial. In this paper, F.R.A.U.D.S (Fraud Recognition and Uniquely Designed System) is based on Machine Learning Algorithms (Hidden Markov Model and Logistic Regression) which helps to improve accuracy, security and also helps to build a scalable, fault-tolerant and high-performance system.
Keywords- Online Credit Card Fraud Detection, Hidden Markov Model (HMM), Logistic Regression.
Publication Details
Unique Identification Number - IJEDR1802049Page Number(s) - 278-283Pubished in - Volume 6 | Issue 2 | April 2018DOI (Digital Object Identifier) - Publisher - IJEDR (ISSN - 2321-9939)
Cite this Article
Harshal Jayant Jagtap, Ruchit Kaushik Sangoi, "Fraud Recognition And Uniquely Designed System (F.R.A.U.D.S)", International Journal of Engineering Development and Research (IJEDR), ISSN:2321-9939, Volume.6, Issue 2, pp.278-283, April 2018, Available at :http://www.ijedr.org/papers/IJEDR1802049.pdf
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