Abstract: Novel methods, components, and systems for detecting malicious software in a proactive manner are presented. More specifically, we describe methods, components, and systems that leverage machine learning techniques to detect malicious software. The disclosed invention provides a significant improvement with regard to detection capabilities compared to previous approaches.
Type:
Application
Filed:
November 30, 2011
Publication date:
September 6, 2012
Applicant:
Immunet Corporation
Inventors:
OLIVER FRIEDRICHS, Alfred Huger, Adam J. O'Donnell