Yapay Zeka Ile Sahtekarlik Tespitine Yonelik Yeni Bir Yaklasim

Ipek Erdogan, Orhan Kurto, Alican Kurt, Serif Bahtiyar

Araştırma sonucu: Kitap/Rapor/Konferans Bildirisinde BölümKonferans katkısıbilirkişi

4 Atıf (Scopus)

Özet

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.

Tercüme edilen katkı başlığıA New Approach for Fraud Detection with Artificial Intelligence
Orijinal dilTürkçe
Ana bilgisayar yayını başlığı2020 28th Signal Processing and Communications Applications Conference, SIU 2020 - Proceedings
YayınlayanInstitute of Electrical and Electronics Engineers Inc.
ISBN (Elektronik)9781728172064
DOI'lar
Yayın durumuYayınlandı - 5 Eki 2020
Etkinlik28th Signal Processing and Communications Applications Conference, SIU 2020 - Gaziantep, Turkey
Süre: 5 Eki 20207 Eki 2020

Yayın serisi

Adı2020 28th Signal Processing and Communications Applications Conference, SIU 2020 - Proceedings

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???event.eventtypes.event.conference???28th Signal Processing and Communications Applications Conference, SIU 2020
Ülke/BölgeTurkey
ŞehirGaziantep
Periyot5/10/207/10/20

Bibliyografik not

Publisher Copyright:
© 2020 IEEE.

Keywords

  • Credit Card Fraud
  • Financial Security
  • Machine Learning.

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