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Simple substitution distance and metamorphic detection

Original Paper

Abstract

To evade signature-based detection, metamorphic viruses transform their code before each new infection. Software similarity measures are a potentially useful means of detecting such malware. We can compare a given file to a known sample of metamorphic malware and compute their similarity—if they are sufficiently similar, we classify the file as malware of the same family. In this paper, we analyze an opcode-based software similarity measure inspired by simple substitution cipher cryptanalysis. We show that the technique provides a useful means of classifying metamorphic malware.

Keywords

Receiver Operating Characteristic Curve Family Virus Simple Substitution Metamorphic Virus Benign File 
These keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves.

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Copyright information

© Springer-Verlag France 2013

Authors and Affiliations

  • Gayathri Shanmugam
    • 1
  • Richard M. Low
    • 2
  • Mark Stamp
    • 3
  1. 1.Department of Computer ScienceSan Jose State UniversitySan JoseUSA
  2. 2.Department of MathematicsSan Jose State UniversitySan JoseUSA
  3. 3.Department of Computer ScienceSan Jose State UniversitySan JoseUSA

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