Publication Date
Fall 2015
Degree Type
Master's Project
Degree Name
Master of Science (MS)
Department
Computer Science
Abstract
Metamorphic malware changes its internal structure with each infection, while maintaining its core functionality. Detecting such malware is a challenging research problem. Function call graph analysis has previously shown promise in detecting such malware. In this research, we analyze the robustness of a function call graph score with respect to various code morphing strategies. We also consider modifications of the score that make it more robust in the face of such morphing.
Recommended Citation
Rajeswaran, Deebiga, "Function Call Graph Score for Malware Detection" (2015). Master's Projects. 445.
DOI: https://doi.org/10.31979/etd.yygj-b9zd
https://scholarworks.sjsu.edu/etd_projects/445
