Evaluating tool based automated malware analysis through persistence mechanism detection

Evaluating tool based automated malware analysis through persistence mechanism detection

Master of Science === Department of Computer Science === Eugene Vasserman === Since 2014 there have been over 120 million new malicious programs registered every year. Due to the amount of new malware appearing every year, analysts have automated large sections of the malware reverse engineering pro...

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Bibliographic Details
Main Author:	Webb, Matthew S.
Language:	en_US
Published:	Kansas State University 2018
Subjects:	Malware analysis Automated analysis Tool evaluation Malware persistence
Online Access:	http://hdl.handle.net/2097/38783

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