A hybrid framework called NEAT-ID combines evolutionary feature selection, attention-enhanced Transformers and wavelet-based ...

When a DDoS protection vendor describes its solution as “AI-powered,” it usually means machine learning: traffic baselines, anomaly scoring, and behavioural models that identify suspicious activity ...

A systematic review of 200 studies finds machine learning effective for detecting DDoS and ARP spoofing attacks on university ...

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.