Systems and methods for data driven malware task identification

Date

2019-01-08

Journal Title

Journal ISSN

Volume Title

Publisher

US Patent Office

Abstract

Embodiments of a system and method for identifying malware tasks using a controlled environment to run malicious software to generate analysis reports , a parser to extract features from the analysis reports and a cognitively inspired learning algorithm to predict tasks associated with the malware are disclosed.

Description

Keywords

malware identification

Citation

Shakarian, Paulo, Eric Nunes, Casey Buto, Christian Lebiere, Robert Thomson, and Stefano Bennati. "Systems and methods for data driven malware task identification." U.S. Patent 10,176,438, issued January 8, 2019.

DOI