Fraud Transactions Detection in Online Payments Based on Client Fingerprinting

Student: Fakhreev Eldar

Supervisor: Denis Gamaunov

Educational Programme: Applied Mathematics and Information Science (Bachelor)

Year of Graduation: 2020

Online trading market development is impossible without services for receiving payments from customers. Nowadays, the number of fraudsters who want to steal money from bank cards increases along with growth of online payments. Due to their actions, stores and banks lose money as well as customers lose confidence in the whole online payment system. By the way, using additional online payment verification methods reduces payment conversion rate, thus, it is important to find new ways to reduce the risks of fraud maintaining an acceptable conversion rate. This paper proposes a new method of verification, invisible to the buyer, using the analysis of fingerprints of his browser. The result of this work is a completed service that can be integrated into the existing payment infrastructure.

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