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@COMMENT This file came from Sanjit Seshia's publication pages at http://www.eecs.berkeley.edu/~sseshia
@inproceedings{christodorescu-oakland05,
AUTHOR = "Mihai Christodorescu and Somesh Jha and Sanjit A. Seshia and Dawn Song and Randal E. Bryant",
TITLE = "Semantics-Aware Malware Detection",
BOOKTITLE = "Proc. IEEE Symposium on Security and Privacy",
MONTH = {May},
YEAR = "2005",
pages = "32--46",
abstract = {
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. },
}