Proposing an HMM-based approach to detect metamorphic malware

@article{Gharacheh2015ProposingAH,
  title={Proposing an HMM-based approach to detect metamorphic malware},
  author={Mina Gharacheh and Vali Derhami and Sattar Hashemi and Seyed Mehdi Hazrati Fard},
  journal={2015 4th Iranian Joint Congress on Fuzzy and Intelligent Systems (CFIS)},
  year={2015},
  pages={1-5}
}
Previous research has shown that hidden Markov model (HMM) is a compelling option for malware identification. However, some advanced metamorphic malware have proven to be more challenging to detect with these techniques. In this paper, we separated the importance of the some part of the malware files to train the HMMs aiming at extracting the significant sequences of malware opcodes. These parts have been deemed important according to their dissimilarity to the benign files, as all parts of a… CONTINUE READING

From This Paper

Figures, tables, and topics from this paper.
3 Citations
12 References
Similar Papers

References

Publications referenced by this paper.
Showing 1-10 of 12 references

A Survey on Techniques in Detection and Analyzing Malware Executables

  • K. Mathur, S. Hiranwal
  • International Journal of Advanced Research in…
  • 2013
1 Excerpt

The Application of Hidden Markov Models in Speech Recognition

  • M. Gales, S. Young
  • Now Publishers Inc, pp. 195-304, 2008.
  • 2008
1 Excerpt

Similar Papers

Loading similar papers…