Systems and methods for data driven malware task identification
Date
2019-01-08
Journal Title
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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
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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.