"Using AI to Develop Enhanced Cybersecurity Measures"

Los Alamos National Laboratory (LANL) researchers are using Artificial Intelligence (AI) to address significant shortcomings in large-scale malware analysis, improving the classification of Microsoft Windows malware and taking more steps towards improved cybersecurity measures. Through their method, the team set a new world record for classifying malware families. The team's approach achieves realistic malware family classification using semi-supervised tensor decomposition methods and selective classification, specifically the reject option. This article continues to discuss the LANL team's study "Semi-Supervised Classification of Malware Families Under Extreme Class Imbalance via Hierarchical Non-Negative Matrix Factorization with Automatic Model Selection."

Los Alamos National Laboratory reports "Using AI to Develop Enhanced Cybersecurity Measures"

Submitted by grigby1