Publication Date
Fall 2015
Degree Type
Master's Project
Degree Name
Master of Science (MS)
Department
Computer Science
Abstract
In this research, we simulate the effect of code evolution by applying a variety of code morphing strategies. Specifically, we consider code substitution, transposition, insertion, and deletion. We then analyze the effect of these code morphing strategies relative to a variety of malware scores that have been considered in previous research. Our goal is to gain a better understanding of the strengths and weaknesses of these various malware scoring techniques. This research should prove useful in designing more robust scores for detecting malware.
Recommended Citation
Ponnambalam, Poonkodi, "Measuring Malware Evolution" (2015). Master's Projects. 449.
DOI: https://doi.org/10.31979/etd.kv4z-s6hz
https://scholarworks.sjsu.edu/etd_projects/449
