Zobrazeno 1 - 5
of 5
pro vyhledávání: '"Naoufal Rtayli"'
Autor:
Naoufal Rtayli
Publikováno v:
Journal of Information Security and Cybercrimes Research, Vol 5, Iss 1, Pp 61-75 (2022)
Due to fast-evolving technology, the world is moving to the use of credit cards rather than money in their daily lives, giving rise to many new opportunities for fraudsters to use credit cards maliciously. Based on the Nilson report, losses related t
Externí odkaz:
https://doaj.org/article/2c0948d8928e4b8b9e8a58a0148adbb8
Autor:
Naoufal Rtayli, Nourddine Enneya
Publikováno v:
Procedia Manufacturing. 46:941-948
For identifying credit card risk in massive and high dimensionality data, feature selection is considered very important to improve classification performance and fraud identification process. One of the commonly used feature selection methods is Ran
Autor:
Naoufal Rtayli, Nourddine Enneya
Publikováno v:
International Journal of Internet Technology and Secured Transactions. 13:159
Autor:
Nourddine Enneya, Naoufal Rtayli
Publikováno v:
2019 Third International Conference on Intelligent Computing in Data Sciences (ICDS).
Credit card fraud can destabilise economies, reduce confidence between customers and banks and affect other individuals or companies negatively. The primordial objective of banks is to identify fraudulent transactions with a high level of accuracy to
Autor:
Nourddine Enneya, Naoufal Rtayli
Publikováno v:
Journal of Information Security and Applications. 55:102596
With the growth of online shopping, Credit Card Fraud (CCF) comes out as a serious menace. For this end, the automatic and real-time fraud detection field calls for several studies. The recent ones use many Machine Learning (ML) methods and technique