Yapay Zeka Ile Sahtekarlik Tespitine Yonelik Yeni Bir Yaklasim

Translated title of the contribution: A New Approach for Fraud Detection with Artificial Intelligence

Ipek Erdogan, Orhan Kurto, Alican Kurt, Serif Bahtiyar

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

2 Citations (Scopus)

Abstract

Due to the ease of use in payments, credit cards now have become one of the most preferred tools for on-site and online shopping payments. As demand for credit cards grows significantly, a wide variety of fraud approaches, such as identity fraud and phishing, emerge to steal money from credit card fraudsters. Fraud detection and prevention systems have become imperative due to the damage of both banks and their customers. The most widely used fraud detection systems now use artificial intelligence and machine learning techniques. However, these techniques are not mature enough. In this study, a new approach for credit card fraud detection with artificial intelligence is proposed. Experimental results have shown that the proposed approach may be used to detect fraud in e-commerce systems.

Translated title of the contributionA New Approach for Fraud Detection with Artificial Intelligence
Original languageTurkish
Title of host publication2020 28th Signal Processing and Communications Applications Conference, SIU 2020 - Proceedings
PublisherInstitute of Electrical and Electronics Engineers Inc.
ISBN (Electronic)9781728172064
DOIs
Publication statusPublished - 5 Oct 2020
Event28th Signal Processing and Communications Applications Conference, SIU 2020 - Gaziantep, Turkey
Duration: 5 Oct 20207 Oct 2020

Publication series

Name2020 28th Signal Processing and Communications Applications Conference, SIU 2020 - Proceedings

Conference

Conference28th Signal Processing and Communications Applications Conference, SIU 2020
Country/TerritoryTurkey
CityGaziantep
Period5/10/207/10/20

Bibliographical note

Publisher Copyright:
© 2020 IEEE.

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