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Cheating and Fraud Detection using Fuzzy Principles and Artificial Intelligence Techniques


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1 Department of Computer Science, Özyeğin University, Turkey
     

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Credit card fraud is a wide-ranging term for theft and fraud committed using a credit card as a fraudulent source of funds in a given transaction. Usually, the fraudulent transactions are conducted by stealing the credit card. When the loss of the card is not noticed by the cardholder, a huge loss can be faced by the credit card company. A very little amount of information is required by the attacker for conducting any fraudulent transaction in online transactions. For buying products and services online, the Internet or telephone devices are used. In this paper, proposed a fraud detection method which utilizes the behavioral patterns of the cardholders analyzing the historical transactions of the cardholder and the feature selection is done by the Fuzzy Particle Swarm Optimization method, enhancing the credit card fraud. After extracting the best and effective features the ensemble classification is applied.

Keywords

Fuzzy Ant Colony Optimization, Fuzzy Particle Swarm Optimization, Fuzzy Genetic Algorithm. Machine Learning.
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  • Cheating and Fraud Detection using Fuzzy Principles and Artificial Intelligence Techniques

Abstract Views: 243  |  PDF Views: 2

Authors

Majid Dh. Younis
Department of Computer Science, Özyeğin University, Turkey
Saad M. Darwish
Department of Computer Science, Özyeğin University, Turkey

Abstract


Credit card fraud is a wide-ranging term for theft and fraud committed using a credit card as a fraudulent source of funds in a given transaction. Usually, the fraudulent transactions are conducted by stealing the credit card. When the loss of the card is not noticed by the cardholder, a huge loss can be faced by the credit card company. A very little amount of information is required by the attacker for conducting any fraudulent transaction in online transactions. For buying products and services online, the Internet or telephone devices are used. In this paper, proposed a fraud detection method which utilizes the behavioral patterns of the cardholders analyzing the historical transactions of the cardholder and the feature selection is done by the Fuzzy Particle Swarm Optimization method, enhancing the credit card fraud. After extracting the best and effective features the ensemble classification is applied.

Keywords


Fuzzy Ant Colony Optimization, Fuzzy Particle Swarm Optimization, Fuzzy Genetic Algorithm. Machine Learning.