GPU-assisted malware

Giorgos Vasiliadis, Michalis Polychronakis, Sotiris Ioannidis

Research output: Chapter in Book/Report/Conference proceedingConference contribution

17 Citations (Scopus)

Abstract

Malware writers constantly seek new methods to obfuscate their code so as to evade detection by virus scanners. Two code-armoring techniques that pose significant challenges to existing malicious-code detection and analysis systems are unpacking and run-time polymorphism. In this paper, we demonstrate how malware can increase its robustness against detection by taking advantage of the ubiquitous Graphics Processing Unit. We have designed and implemented unpacking and run-time polymorphism for a GPU, and tested them using existing graphics hardware. We also discuss how upcoming GPU features can be utilized to build even more robust, evasive, and functional malware.

Original languageEnglish
Title of host publicationProceedings of the 5th IEEE International Conference on Malicious and Unwanted Software, Malware 2010
Pages1-6
Number of pages6
DOIs
Publication statusPublished - 2010
Externally publishedYes
Event5th International Conference on Malicious and Unwanted Software, Malware 2010 - Nancy, France
Duration: 19 Oct 201020 Oct 2010

Other

Other5th International Conference on Malicious and Unwanted Software, Malware 2010
CountryFrance
CityNancy
Period19/10/1020/10/10

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ASJC Scopus subject areas

  • Software

Cite this

Vasiliadis, G., Polychronakis, M., & Ioannidis, S. (2010). GPU-assisted malware. In Proceedings of the 5th IEEE International Conference on Malicious and Unwanted Software, Malware 2010 (pp. 1-6). [5665801] https://doi.org/10.1109/MALWARE.2010.5665801