NDLI: Detecting virus mutations via dynamic matching

Content Provider	IEEE Xplore Digital Library
Author	Min Feng Gupta, R.
Copyright Year	2009
Description	Author affiliation: CSE Dept., University of California, Riverside (Min Feng; Gupta, R.)
Abstract	To defeat current commercial antivirus software, the virus developers are employing obfuscation techniques to create mutating viruses. The current antivirus software cannot handle the obfuscated viruses well since its detection methods that are based upon static signatures are not resilient to even slight variations in the code that forms the virus. In this paper, we propose a new type of virus signature, called dynamic signature, and an algorithm for matching dynamic signatures. Our dynamic signature is created based on the runtime behavior of a virus. Therefore, an obfuscated virus can also be detected using a dynamic signature as long as it dynamically behaves like the original virus. We also discuss issues related to deploying our virus detection approach. Our experiments based upon several known mutating viruses show that our method is effective in identifying obfuscated viruses.
Starting Page	105
Ending Page	114
File Size	327587
Page Count	10
File Format	PDF
ISBN	9781424448975
ISSN	10636773
DOI	10.1109/ICSM.2009.5306329
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2009-09-20
Publisher Place	Canada
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Genetic mutations Viruses (medical) Computer viruses Heuristic algorithms Security Change detection algorithms Protection Runtime library Permission Humans
Content Type	Text
Resource Type	Article

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4	Project PI / Joint PI	Principal Investigator and Joint Principal Investigators of the project	Dr. B. Sutradhar bsutra@ndl.gov.in Prof. Saswat Chakrabarti will be added soon
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