BIOENGINEER

Hybrid AI Model Catches Zero-Day DDoS Attacks in Smart Hospitals Without Exposing Patient Data

Researchers have built a federated, explainable VAE-LSTM framework that detects previously unseen DDoS attacks in ...
BIOENGINEER

Privacy-First AI Learns to Spot DDoS Attacks Across IoT Networks Without Sharing Raw Data

Researchers have unveiled a federated learning framework that detects DDoS attacks across IoT networks with up to 96.95 ...
Help Net Security

Predicting DDoS attacks: How deep learning could give defenders an early warning

Distributed denial-of-service (DDoS) attacks remain one of the most common and disruptive forms of cybercrime. Defenders have traditionally focused on detecting these attacks once they are underway.