Isamaliya Kajal Kanubhai

Unsupervised Deep Autoencoder for Zero-Day Anomaly Detection in Network Traffic

This review presents a thorough examination of the existing unsupervised deep autoencoder-based methods and their combination models proposed for zero-day anomaly detection in network traffic and addresses future directions toward an adaptive and interpretable autoencoder-based intrusion detection system.