Publication Date
Fall 2013
Degree Type
Master's Project
Degree Name
Master of Science (MS)
Department
Computer Science
Abstract
Well-designed metamorphic malware can evade many commonly used malware detection techniques including signature scanning. In this research, we consider a score based on function call graph analysis. We test this score on several challenging classes of metamorphic malware and we show that the resulting detection rates yield an improvement over previous research.
Recommended Citation
Deshpande, Prasad, "Metamorphic Detection Using Function Call Graph Analysis" (2013). Master's Projects. 336.
DOI: https://doi.org/10.31979/etd.t9xm-ahsc
https://scholarworks.sjsu.edu/etd_projects/336
