Conference
Aug 2026
HCAE-NIDS: A Hybrid Contrastive Autoencoder for Zero-Day Attack Detection
Machine Learning has demonstrated state-of-the-art results in network intrusion detection; however, such methods struggle to detect zero-day attacks, posing a critical challenge to network security. Autoencoder based anomaly detection methods are widely adopted to address this limitation, but latent-space overgeneraliz...
Nowsheen Mearaj, Hilal Ahmad Khanday
· 2026 6th International Confe... · 0 citations