Systems and methods for data driven malware task identification

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Authors

Shakarian, Paulo
Nunes, Eric
Buto, Casey
Lebiere, Christian
Thomson, Robert
Bennati, Stefano

Issue Date

2019-01-08

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Other

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Keywords

malware identification

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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.

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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.

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US Patent Office

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