Article
Compression-based analysis of metamorphic malware
International Journal of Security and Networks
(2015)
Abstract
Recent work has shown that a technique based on structural entropy measurement provides an effective means of detecting metamorphic malware. This previous work relies on file segmentation using transform techniques. In other previous work, a method based on estimating Kolmogorov complexity using compression ratios has shown promise for malware detection. In this paper, we attempt to improve on these previous techniques by combining the main features of each. Specifically, we use compression ratios and transform techniques for file segmentation. The resulting file segment information is then used to compute scores between pairs of executable files. We test our proposed technique on challenging families of metamorphic malware and we compare our results to relevant previous work.
Keywords
- compression ratios,
- transform techniques,
- file segmentation,
- metamorphic malware,
- structural entropy,
- malware detection,
- network security
Disciplines
Publication Date
2015
DOI
10.1504/IJSN.2015.070426
Citation Information
Jared Lee, Thomas H. Austin and Mark Stamp. "Compression-based analysis of metamorphic malware" International Journal of Security and Networks Vol. 10 Iss. 2 (2015) p. 124 - 136 ISSN: 1747-8405 Available at: http://works.bepress.com/thomas_austin/33/