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Semantics-aware malware detection

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5 Author(s)
Christodorescu, M. ; Wisconsin Univ., Madison, WI, USA ; Jha, S. ; Seshia, S.A. ; Song, D.
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A malware detector is a system that attempts to determine whether a program has malicious intent. In order to evade detection, malware writers (hackers) frequently use obfuscation to morph malware. Malware detectors that use a pattern-matching approach (such as commercial virus scanners) are susceptible to obfuscations used by hackers. The fundamental deficiency in the pattern-matching approach to malware detection is that it is purely syntactic and ignores the semantics of instructions. In this paper, we present a malware-detection algorithm that addresses this deficiency by incorporating instruction semantics to detect malicious program traits. Experimental evaluation demonstrates that our malware-detection algorithm can detect variants of malware with a relatively low run-time overhead. Moreover our semantics-aware malware detection algorithm is resilient to common obfuscations used by hackers.

Published in:

Security and Privacy, 2005 IEEE Symposium on

Date of Conference:

8-11 May 2005

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