Article
Metamorphic Malware Detection Using Function Call Graph Analysis
MIS REVIEW: An International Journal
(2016)
Abstract
Previous work has shown that well-designed metamorphicmalware can evade many commonly-used malware detection techniques, including signature scanning. In this paper, we consider a previously developed score which is based on function call graph analysis. We test this score on challenging classes of metamorphic malware and we show that the resulting detection rates yield an improvement over other comparable techniques. These results indicate that the function call graph score is among the stronger malware scores developed to date.
Keywords
- Malware,
- Function Call Graph,
- Metamorphic Software
Disciplines
Publication Date
March, 2016
DOI
10.6131/MISR.2015.2101.02
Citation Information
Prasad Deshpande and Mark Stamp. "Metamorphic Malware Detection Using Function Call Graph Analysis" MIS REVIEW: An International Journal Vol. 21 Iss. 1/2 (2016) p. 15 - 34 ISSN: 1018-1393 Available at: http://works.bepress.com/mark_stamp/64/