Securing Finance System Using Deep Learning Techniques: Credit Card Fraud Detection

Wakhare, Sailee Sanjeev (2024) Securing Finance System Using Deep Learning Techniques: Credit Card Fraud Detection. Masters thesis, Dublin, National College of Ireland.

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Abstract

The increase of cyber-attacks in various sectors which leads to financial loss, data theft, identity theft, is raising concerns. It showcases the need to build secure, robust systems to prevent such attacks. Especially in the financial sector, the frauds occurring in credit card, need attention and application of advanced techniques to prevent them. These frauds involve complicated activities, complex patterns and large data. In this research, advanced methods are used for detecting such patterns. An effort is made to increase the capability of credit card fraud detection by implementing three robust deep learning algorithms which are Multilayer Perceptron, Long Short-Term Memory, Convolutional Neural Network and machine learning algorithm K-Nearest Neighbour. It also includes feature important analysis using SHapely Additive exPlanations technique of artificial intelligence. It helps to gain insights on contribution of individual features. These insights and the results obtained in this research align with previous research and contributes to securing financial systems by integrating advanced machine learning with eXplainable AI tools.

Item Type:	Thesis (Masters)
Supervisors:	Name Email Heffernan, Niall UNSPECIFIED
Subjects:	Q Science > QA Mathematics > Electronic computers. Computer science T Technology > T Technology (General) > Information Technology > Electronic computers. Computer science Q Science > QH Natural history > QH301 Biology > Methods of research. Technique. Experimental biology > Data processing. Bioinformatics > Artificial intelligence Q Science > Q Science (General) > Self-organizing systems. Conscious automata > Artificial intelligence Q Science > QA Mathematics > Computer software > Computer Security T Technology > T Technology (General) > Information Technology > Computer software > Computer Security H Social Sciences > HG Finance > Credit. Debt. Loans. Q Science > Q Science (General) > Self-organizing systems. Conscious automata > Machine learning
Divisions:	School of Computing > Master of Science in Cyber Security
Depositing User:	Ciara O'Brien
Date Deposited:	28 Jul 2025 15:29
Last Modified:	28 Jul 2025 15:29
URI:	https://norma.ncirl.ie/id/eprint/8279

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