1. Baysa D, Low RM, Stamp M (2013) Structural entropy and metamorphic malware. J Comput Virology Hacking Techniques 9(4):179–192

   Article  Google Scholar 

2. Bruschi D, Martignoni L, Monga M (2006) Using code normalization for fighting self-mutating malware. In: Proceedings of the international symposium on secure software engineering, pp 37–44

3. Canfora G, Iannaccone AN, Visaggio CA (2014) Static analysis for the detection of metamorphic computer viruses using repeated-instructions counting heuristics. J Comput Virology and Hacking Techniques 10(1):11–27

   Article  Google Scholar 

4. Chouchane MR, Walenstein A, Lakhotia A (2007) Statistical signatures for fast filtering of instruction-substituting metamorphic malware. In: Proceedings of the 2007 ACM workshop on recurring malcode. ACM, pp 31–37

5. Guo B, Gunn SR, Damper RI, Nelson JD (2006) Band selection for hyperspectral image classification using mutual information. IEEE Geosci Remote Sens Lett 3(4):522–526

   Article  Google Scholar 

6. Jakobsen T (1995) A fast method for cryptanalysis of substitution ciphers. Cryptologia 19(3):265–274

   Article MATH  Google Scholar 

7. Lee J, Jeong K, Lee H (2010) Detecting metamorphic malwares using code graphs. In: Proceedings of the 2010 ACM symposium on applied computing. ACM, pp 1970–1977

8. Maes F, Loeckx D, Vandermeulen D, Suetens P (2015) Image registration using mutual information. In: Handbook of biomedical imaging. Springer, pp 295–308

9. Nair VP, Jain H, Golecha YK, Gaur MS, Laxmi V (2010) Medusa: Metamorphic malware dynamic analysis usingsignature from api. In: Proceedings of the 3rd international conference on security of information and networks. ACM, pp 263– 269

10. Rad BB, Masrom M (2011) Metamorphic virus variants classification using opcode frequency histogram. arXiv:1104.3228

11. Rad BB, Masrom M, Ibrahim S, Ibrahim S (2011) Morphed virus family classification based on opcodes statistical feature using decision tree. In: Informatics engineering and information science. Springer, pp 123–131

12. Rogelj P, Kovaċiċ S (2003) Point similarity measure based on mutual information. In: International workshop on biomedical image registration. Springer, pp 112–121

13. Runwal N, Low RM, Stamp M (2012) Opcode graph similarity and metamorphic detection. J Comput Virol 8(1-2):37– 52

    Article  Google Scholar 

14. Russakoff DB, Tomasi C, Rohlfing T, CR Maurer Jr (2004) Image similarity using mutual information of regions. In: Computer vision-ECCV 2004. Springer, pp 596–607

15. Saleh ME, Mohamed AB, Nabi AA (2011) Eigenviruses for metamorphic virus recognition. IET Inf Secur 5(4):191–198

    Article  Google Scholar 

16. Shanmugam G, Low RM, Stamp M (2013) Simple substitution distance and metamorphic detection. J Comput Virology Hacking Techniques 9(3):159–170

    Article  Google Scholar 

17. Snakebyte (2000) Next Generation Virus Construction Kit (NGVCK).http://vx.netlux.org/vx.php?id=tn02

18. Sridhara SM, Stamp M (2013) Metamorphic worm that carries its own morphing engine. J Comput Virology Hacking Techniques 9(2):49–58

    Article  Google Scholar 

19. Ször P, Ferrie P (2001) Hunting for metamorphic. In: Virus bulletin conference

20. Toderici AH, Stamp M (2013) Chi-squared distance and metamorphic virus detection. J Comput Virology Hacking Techniques 9(1):1–14

    Article  Google Scholar 

21. Treadwell S, Zhou M (2009) A heuristic approach for detection of obfuscated malware. In: IEEE international conference on intelligence and security informatics, 2009. ISI'09. IEEE, pp 291– 299

22. Vinod P, Laxmi V, Gaur M, Chauhan G (2012) Momentum: metamorphic malware exploration techniques using msa signatures. In: 2012 international conference on innovations in information technology (IIT). IEEE, pp 232–237

23. Viola P, Wells WM (1995) Alignment by maximization of mutual information. In: Proceedings of the fifth international conference on computer vision, 1995. IEEE, pp 16–23

24. Walenstein A, Mathur R, Chouchane MR, Lakhotia A (2006) Normalizing metamorphic malware using term rewriting. In: Sixth IEEE international workshop on source code analysis and manipulation, 2006. SCAM'06. IEEE, pp 75–84

25. Wong W (2006) Analysis and detection of metamorphic computer viruses. PhD thesis, San Jose State University

26. Wong W, Stamp M (2006) Hunting for metamorphic engines. J Comput Virol 2(3):211–229

    Article  Google Scholar 

27. Xu M, Wu L, Qi S, Xu J, Zhang H, Ren Y, Zheng N (2013) A similarity metric method of obfuscated malware using function-call graph. J Comput Virology Hacking Techniques 9(1):35–47

    Article  Google Scholar 

Download references