Nowsheen Mearaj

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...