Charles River Analytics, a developer of intelligent systems solutions, announces a follow-on contract to develop novel techniques for malware defense for the US Air Force. SESAME, which stands for Semi-Supervised Algorithms against Malware Evolution, is a research project that aims to counter the increasing threats posed by malware.
“Malware poses a critical threat to our networked assets. The rising number and sophistication of malware attacks continues to multiply each year,” explained Dr. Avi Pfeffer, principal scientist at Charles River. “Human analysts cannot cope with the large volume of malware, and automated methods have difficulty recognizing evolving malware. Our goal under the SESAME effort is to develop a robust, scalable system that improves malware detection while countering attempts by attackers to subvert our defenses.”
SESAME uses online learning, which evolves as it encounters new malware. It combines a rich understanding of malware set with deep machine learning algorithms to learn the essential characteristics of malware. Also, to scale up to handle the enormous number of malware attacks, SESAME uses cloud-based learning and is being designed as an enterprise-based system.
Charles River is partnering with Professor Arun Lakhotia of the Center for Advanced Computer Studies at the University of Louisiana at Lafayette. Dr. Lakhotia's Software Research Lab specializes in analyzing malware evolution.
Source: Charles River Analytics
Date: Jan 6, 2014