crossrefAI2026-01-25Cited by 4
A Hybrid Intrusion Detection Framework Using Deep Autoencoder and Machine Learning Models
Salam Allawi Hussein, Sándor R. Répás
This study provides a detailed comparative analysis of a three-hybrid intrusion detection method aimed at strengthening network security through precise and adaptive threat identification. The proposed framework integrates an Autoencoder-Gaussian Mixture Model (AE-GMM) with two s…