BIOENGINEER

Machine Learning Shows Promise Against Campus Cyberattacks, But Evidence Remains Uneven

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

Unsupervised autoencoder with IQR threshold detects 5G DoS/DDoS traffic in benchmark study

NIDD, a deep autoencoder trained only on benign flows and thresholded with an adaptive IQR rule detected 321,012 of 321,357 ...
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.
Business Wire

NETSCOUT Combines Leading Global Threat Intelligence With Machine Learning to Protect Enterprises From Rapidly Spreading Dynamic DDoS Attacks

WESTFORD, Mass.--(BUSINESS WIRE)--NETSCOUT SYSTEMS, INC. (NASDAQ: NTCT), a leading provider of performance management, cybersecurity, and DDoS attack protection solutions, today released its latest ...