Systems and methods for data driven malware task identification

dc.contributor.author	Shakarian, Paulo
dc.contributor.author	Nunes, Eric
dc.contributor.author	Buto, Casey
dc.contributor.author	Lebiere, Christian
dc.contributor.author	Thomson, Robert
dc.contributor.author	Bennati, Stefano
dc.date.accessioned	2024-09-26T19:58:42Z
dc.date.available	2024-09-26T19:58:42Z
dc.date.issued	2019-01-08
dc.description.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.
dc.description.sponsorship	IARPA BS&L Carnegie Mellon University Arizona State University EECS Army Cyber Institute
dc.identifier.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.
dc.identifier.other	U.S. Patent 10,176,438,
dc.identifier.uri	https://hdl.handle.net/20.500.14216/1536
dc.publisher	US Patent Office
dc.subject	malware identification
dc.title	Systems and methods for data driven malware task identification
dc.type	Other
local.USMAemail	robert.thomson@westpoint.edu
local.peerReviewed	No

Files

Now showing 1 - 1 of 1