Unsupervised Anomaly Model Detects Zero-Day Cyberattacks With 96.8 Percent Accuracy
Researchers developed ZeroDayDetectAI, an unsupervised ensemble framework combining autoencoders and latent-space clustering that detected unseen cyberattacks with 96.78 percent accuracy ...
