Li-Peng Wang

A variational autoencoder attention fusion model for zero-day exploit behavior detection VAE-AttNet

Zero-day exploit (ZDE) attacks are among the most severe threats to critical infrastructures such as cloud computing, industrial control, smart grids, and connected vehicles, owing to their unknown, stealthy, and highly destructive nature. Traditional signature- and rule-based intrusion detection is largely ineffective...