This presentation illustrated malware detection enhancement using unsupervised and semi-supervised machine learning techniques to detect early zero-day attacks. Malware authors generate domains for command-and-control communication using domain generation algorithms (DGA). Different types of malware employ different algorithms. Our challenge is to classify a given domain as a DGA domain or non-DGA (benign) domain. A device that accesses a DGA domain is potentially infected with malware. Learn how we used SAS Viya to apply multiple advanced analytics techniques.
Presentation slides are attached to this post.
