Chi-squared distance and metamorphic virus detection

@article{Toderici2012ChisquaredDA,
  title={Chi-squared distance and metamorphic virus detection},
  author={Annie H. Toderici and Mark Stamp},
  journal={Journal of Computer Virology and Hacking Techniques},
  year={2012},
  volume={9},
  pages={1-14}
}
Metamorphic malware changes its internal structure with each generation, while maintaining its original behavior. Current commercial antivirus software generally scan for known malware signatures; therefore, they are not able to detect metamorphic malware that sufficiently morphs its internal structure. Machine learning methods such as hidden Markov models (HMM) have shown promise for detecting hacker-produced metamorphic malware. However, previous research has shown that it is possible to… CONTINUE READING
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References

Publications referenced by this paper.
Showing 1-10 of 25 references

An undetectable computer virus

  • D. Chess, S. White
  • Virus Bulletin Conference, September 2000.
  • 2000
Highly Influential
4 Excerpts

A good decade for cybercrime

  • F. Coulter, K. Eichorn
  • McAfee, Inc, 2821 Mission College Blvd, Santa…
  • 2011

McAfee threats report: Second quarter 2011

  • T. Dirro, P. Greve, +5 authors A. Wosotowsky
  • McAfee, Inc, 2821 Mission College Blvd, Santa…
  • 2011
1 Excerpt

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