An Anomaly-Based Deep Learning Model for Detecting Known and Zero-Day Attacks in Network Traffic
This study proposes an anomaly-based deep learning model for detecting both known and zero-day attacks in heterogeneous network environments that integrates advanced traffic preprocessing, automated feature extraction, deep neural representation learning, adaptive anomaly scoring, and intelligent attack classification...