Skip to main content
Article
Opcode graph similarity and metamorphic detection
Journal in Computer Virology (2012)
  • Neha Runwal, San Jose State University
  • Richard M. Low, San Jose State University
  • Mark Stamp, San Jose State University
Abstract

In this paper, we consider a method for computing the similarity of executable files, based on opcode graphs. We apply this technique to the challenging problem of metamorphic malware detection and compare the results to previous work based on hidden Markov models. In addition, we analyze the effect of various morphing techniques on the success of our proposed opcode graph-based detection scheme.

Keywords
  • Opcode graph,
  • metamorphic detection,
  • computer virology,
  • computer science
Publication Date
2012
Publisher Statement
SJSU users: use the following link to login and access the article via SJSU databases
Citation Information
Neha Runwal, Richard M. Low and Mark Stamp. "Opcode graph similarity and metamorphic detection" Journal in Computer Virology Vol. 8 Iss. 1-2 (2012)
Available at: http://works.bepress.com/mark_stamp/19/