Publication Date
Fall 2015
Degree Type
Master's Project
Degree Name
Master of Science (MS)
Department
Computer Science
Abstract
Metamorphic malware transforms its internal structure when it propagates, making detection of such malware a challenging research problem. Previous research considered a score based on simple substitution cryptanalysis, which was applied to the metamorphic detection problem. In this research, we analyze a new score based on a combined simple substitution and column transposition (SSCT) cryptanalysis. We show that this SSCT score significantly outperforms the simple substitution score— and other malware detection scores—in many cases.
Recommended Citation
Srinivasan, Srividhya, "SSCT Score for Malware Detection" (2015). Master's Projects. 444.
DOI: https://doi.org/10.31979/etd.4brm-b25z
https://scholarworks.sjsu.edu/etd_projects/444
