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...
Main Author: | Webb, Matthew S. |
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Language: | en_US |
Published: |
Kansas State University
2018
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Subjects: | |
Online Access: | http://hdl.handle.net/2097/38783 |
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