An Evaluation of Variational Autoencoder in Credit Card Anomaly Detection

An Evaluation of Variational Autoencoder in Credit Card Anomaly Detection

Anomaly detection is one of the many challenging areas in cybersecurity. The anomaly can occur in many forms, such as fraudulent credit card transactions, network intrusions, and anomalous imageries or documents. One of the most common challenges in anomaly detection is the obscurity of the normal s...

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Bibliographic Details
Main Authors: Faleh Alshameri, Ran Xia
Format: Article
Language:English
Published: Tsinghua University Press 2024-09-01
Series:Big Data Mining and Analytics
Subjects:
anomaly detection
optimization
imbalanced dataset
generative modeling
convolutional neural network (cnn)
variational autoencoder (vae)
latent space scaling
reconstruction error
Online Access:https://www.sciopen.com/article/10.26599/BDMA.2023.9020035
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https://www.sciopen.com/article/10.26599/BDMA.2023.9020035

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