Software transformations to improve malware detection |
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Authors: | Mihai Christodorescu Somesh Jha Johannes Kinder Stefan Katzenbeisser Helmut Veith |
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Affiliation: | 1. University of Wisconsin, Madison, USA 2. Technische Universit?t München, Munich, Germany
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Abstract: | Malware is code designed for a malicious purpose, such as obtaining root privilege on a host. A malware detector identifies
malware and thus prevents it from adversely affecting a host. In order to evade detection, malware writers use various obfuscation
techniques to transform their malware. There is strong evidence that commercial malware detectors are susceptible to these
evasion tactics. In this paper, we describe the design and implementation of a malware transformer that reverses the obfuscations performed by a malware writer. Our experimental evaluation demonstrates that this malware
transformer can drastically improve the detection rates of commercial malware detectors. |
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