4 天前 - … and reduce fraudulent activities in large organizations. For real-time fraud detection,
we … with lambda architecture while for credit card fraud detection, we use an autoencoder, …

5 天前 - … Credit card transaction fraud is a global challenge, … anomaly detection, capable of
identifying fraudulent transactions. … out, detecting 76.7% of frauds with a precision of 96.4%. …

5 天前 - … Phishing attacks are a prevalent security threat, and detecting and preventing such
… login credentials, and credit card details, and perform some fraudulent activities. To address …

5 天前 - … card holders face monetary losses. The major challenge faced in the detection of
credit card fraud … This study also aims to suggest some efficient fraud detection algorithms that …

5 天前 - … the importance of credit card fraud detection cannot be … fraudulent. Despite their
potential, multi-armed bandit (MAB) algorithms have not been widely adopted in fraud detection…

6 天前 - … credit card transaction fraud detection systems using unbalanced data can be
compared and analysed. In this work, have used credit-card … credit card fraud detection (CCFD). …

6 天前 - … review of financial fraud detection methods and deep learning-based fraud … Only
a few methods for credit card fraud detection are publicly available due to security concerns. …

6 天前 - … of fraud. This paper introduces a cuttingedge approach to credit card fraud detection
by … enhance both the accuracy and efficiency of detection systems. We propose a hybrid …

7 天前 - … to address the problems related to credit card fraud detection [6-8]. This paper aims
to enhance AE model performance for credit card fraud detection, by introducing a new loss …

7 天前 - … Also of concern to credit card fraud detection solutions is, the recognition strength
that indicates a Fraud detector’s ability to correctly identify both known and novel frauds. This …