… of BFL and digital twin technology for credit card fraud detection. By combining these
approaches, a secure and private platform for credit card fraud detection can be created [14]. This …

… In this research article, we have conducted a comparative analysis of the literature review
considering the ML techniques for credit card fraud detection (CCFD) and data confidentiality. …

… and up-to-date credit card fraud detection systems in place. Credit card fraud detection helps
identify … Credit card fraud can take one of two forms: online and offline. In the case of online …

… around CCF detection. Moreover, we strongly emphasise the research that reported fraud
detection in the problem of class imbalance. Many techniques are used to detect credit cards. …

… A databased containing transaction records of credit cards was used for fraud detection in
Jurgovsky et al. (2018). The LSTM (long short term memory) model was applied to examine …

… an effective credit card fraud detection mechanism including … to enhancing the classifier's
detection rate as well as cost-… , on a slightly skewed credit card fraud data sets. These data sets …

… of a robust credit card fraud detection method using an LSTM … credit card fraud detection.
The rest of this paper is structured as follows: Section II discusses the credit card fraud detection …

… In order to predict and detect the fraudulent financial … Credit card fraud detection using
neural networks is one such example [12, 13]. A real dataset is used for credit card fraud detection …

… used to detect such credit card fraud. When done the literature survey on various methods
of credit card fraud detection, we can conclude that to detect credit card fraud there are many …

… credit card fraud detection takes place as: the user or the customer enters the necessary
credentials in order to make any transaction using credit card … in our credit card fraud detection …