Opcode graph similarity and metamorphic detection

Author:

Runwal Neha,Low Richard M.,Stamp Mark

Publisher

Springer Science and Business Media LLC

Subject

Hardware and Architecture,Computer Science (miscellaneous)

Reference33 articles.

1. Anderson B. et al.: Graph-based malware detection using dynamic analysis. J. Comput. Virol. 7(4), 247–258 (2011)

2. Attaluri S., McGhee S., Stamp M.: Profile hidden Markov models and metamorphic virus detection. J. Comput. Virol. 5(2), 151–169 (2009)

3. Aycock J.: Computer Viruses and Malware. Springer, Berlin (2006)

4. Al daoud, E., et al.: Detecting metamorphic viruses by using arbitrary length of control flow graphs and nodes alignment. In: ICIT 2009 Conference—Bioinformatics and Image. http://www.ubicc.org/files/pdf/2_363.pdf

5. Cesare, S.: Faster, more effective flowgraph-based malware classification. http://www.ruxcon.org.au/2011-talks/faster-more-effective-flowgraph-based-malware-classification/

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