Fraud detection in a financial payment system

Perera, Dushani, Rajaratne, Manisha, Sandaruwan, Damitha and Kodikara, Nihal 2020. Fraud detection in a financial payment system. Presented at: 3rd International Conference on Human Interaction and Emerging Technologies (IHIET 2020), Paris, France, 27-29 August 2020. Published in: Ahram, Tareq, Taiar, Redha, Langlois, Karine and Choplin, Arnaud eds. Multisensory Augmented Reality 2021 Virtual Proceedings. Advances in Intelligent Systems and Computing. Multisensory Augmented Reality 2021 Virtual Proceedings , vol.1253 International Conference on Human Interaction and Emerging Technologies: Springer Verlag, pp. 520-526. 10.1007/978-3-030-55307-4_79

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Abstract

Many financial payment systems have to face fraudulent activities due to the fast-paced development of the technology. Fraud detection is essential for the proper management of fraud control. It automates the manual checking processes and helps the detection be done conveniently. It is important to research and find ways and means of proper methodologies which will help serve the purpose of fraud detection effectively. Machine Learning Approach becomes more popular and accurate compared to a rule-based approach in this scenario. This paper presents such a performance comparison among a few methods which were tested with a dataset.

Item Type:	Conference or Workshop Item (Paper)
Date Type:	Published Online
Status:	Published
Schools:	Computer Science & Informatics
Publisher:	Springer Verlag
ISBN:	9783030553074
ISSN:	2194-5357
Date of First Compliant Deposit:	8 December 2021
Date of Acceptance:	6 August 2020
Last Modified:	07 Feb 2022 10:16
URI:	https://orca.cardiff.ac.uk/id/eprint/145696

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