Adaptive Model for Credit Card Fraud Detection

Adaptive Model for Credit Card Fraud Detection

Fraud Detection

Machine-Learning

Credit Card Fraud

customer profile

transaction profile

While the flow of banking transactions is increasing, the risk of credit card fraud is becoming greater particularly with the technological revolution that we know, fraudulent are improve and always find new methods to deal with the preventive measures that financial systems set up. Several studies have proposed predictive models for credit card fraud detection based on different machine learning techniques. In this paper, we present an adaptive approach to credit card fraud detection that exploits the performance of the techniques that have given high level of accuracy and consider the type of transaction and the client's profile. Our proposition is a multi-level framework, which encompasses the banking security aspect, the customer profile and the profile of the transaction itself.

Sadgali, Imane

Sael, Naoual

Benabbou, Faouzia

International Journal of Interactive Mobile Technologies (iJIM); Vol. 14 No. 03 (2020); pp. 54-65

1865-7923

International Association of Online Engineering (IAOE), Vienna, Austria

2020-02-28

Copyright (c) 2020 Imane SADGALI

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eng

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info:eu-repo/semantics/publishedVersion

Peer-reviewed Article