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Artificial Intelligence and Communication Technologies

Credit Card Fraud Detection Using AI

Authors: Vaibhav Shende, Sunita Nandgave and Mansi Bhonsle


Publishing Date: 31-03-2023

ISBN: 978-81-955020-5-9

DOI: https://doi.org/10.52458/978-81-955020-5-9-87

Abstract

As a result, there is now a need to fight back against credit card fraud in the world today. ’Credit card fraud is when dirty money is cleaned up, so the source of the funds can’t be found.’ Financial transactions happen all over the world every day, so it’s hard to find credit card fraud /back in the global market. In the same way that (Anti-credit card fraud Suite) was introduced earlier, it can only be used for one transaction at a time, and not for other bank account transactions. To solve problems, we propose a machine learning method called ”Structural Similarity.” This method uses ”Structural Similarity” 2to look for common attributes and behaviour in bank account transactions. This is hard to do with a large dataset, so we came up with ways to cut down the data and look for pairs of transactions with other bank accounts that have similar attributes and behaviour.

Keywords

Machine Learning, fraud detection, AI, Algorithm.

Cite as

Vaibhav Shende, Sunita Nandgave and Mansi Bhonsle, "Credit Card Fraud Detection Using AI", In: Saroj Hiranwal and Garima Mathur (eds), Artificial Intelligence and Communication Technologies, SCRS, India, 2023, pp. 911-917. https://doi.org/10.52458/978-81-955020-5-9-87

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