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A R T I C L E I N F O A B S T R A C T Article history: Received: 17 November, 2019 Accepted: 18 March, 2020 Online: 08 April, 2020 Fraud, as regards means of payment, means the behavior of any legal or natural one that makes an abnormal or irregular use of a way of payment, elements of it or information contained therein, to improperly obtain an honest, service or enrichment, and or causing financial damage to the one that has distributed the means of payment to a user or a 3rd party; Contests in bad faith a legitimate payment order of which she is that the initiator. during this paper we are getting to propose an approach to managing the risks, it consists to mix a machine learning with an ontology-based on a payment system to succeed in this objective. Machine learning may be a field of study that improves their performance in solving tasks without being explicitly programmed by each. An ontology is that the structured set of terms and ideas that represent the meaning of an information field, whether by the metadata of a namespace, or the elements of a domain of knowledge.

Approach to Combine an Ontology-Based on Payment System with Neural Network for Transaction Fraud Detection