Abstract
The conflict between malware authors and analysts is heating up as both are coming up with new armaments in their armory. Malware authors are employing novel sophisticated techniques like metamorphosis to thwart detection mechanisms while security professionals are budding new ways to confront them. In this paper we formally treat diverse mechanisms of making malware undetectable in general and code mutation techniques in particular. We also supported our argument where possible, through different tools and have revealed their outcome. In the end we give our methodology to make any virus undetectable using amalgamation of hex editing and metamorphic techniques.
Access this chapter
Tax calculation will be finalised at checkout
Purchases are for personal use only
Preview
Unable to display preview. Download preview PDF.
Similar content being viewed by others
References
Aycock, J.: Computer Viruses and malware, Springer Science+Business Media (2006)
Cohen, F.: Computer viruses: theory and experiments. Computer Security 6(1), 22–35 (1987)
Stamp, M.: Information Security: Principles and Practice (August 2005)
Walenstein, R., Mathur, M., Chouchane, R., Lakhotia, A.: The design space of metamorphic malware. In: Proceedings of the 2nd International Conference on Information Warfare (March 2007)
Borello, J., Me, L.: Code Obfuscation Techniques for Metamorphic Viruses (Feburary 2008), http://www.springerlink.com/content/233883w3r2652537
Techotips (2009), http://techotips.blogspot.com/2009/10/tutorial-hexing-using-dsplit-hide.html
Desai, P.: Towards an Undetectable Computer Virus, Master’s thesis, San Jose State University (December 2008)
Author information
Authors and Affiliations
Editor information
Editors and Affiliations
Rights and permissions
Copyright information
© 2010 Springer-Verlag Berlin Heidelberg
About this paper
Cite this paper
Murad, K., Shirazi, S.NuH., Zikria, Y.B., Ikram, N. (2010). Evading Virus Detection Using Code Obfuscation. In: Kim, Th., Lee, Yh., Kang, BH., Ślęzak, D. (eds) Future Generation Information Technology. FGIT 2010. Lecture Notes in Computer Science, vol 6485. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-17569-5_39
Download citation
DOI: https://doi.org/10.1007/978-3-642-17569-5_39
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-642-17568-8
Online ISBN: 978-3-642-17569-5
eBook Packages: Computer ScienceComputer Science (R0)