Publication Date
Fall 2017
Degree Type
Master's Project
Degree Name
Master of Science (MS)
Department
Computer Science
Abstract
Encrypted code is often present in some types of advanced malware, while such code virtually never appears in legitimate applications. Hence, the presence of encrypted code within an executable file could serve as a strong heuristic for detecting malware. In this research, we consider the feasibility of detecting encrypted code using hidden Markov models.
Recommended Citation
Dhanasekar, Dhiviya, "Detecting Encrypted Malware Using Hidden Markov Models" (2017). Master's Projects. 574.
DOI: https://doi.org/10.31979/etd.qhm6-sn26
https://scholarworks.sjsu.edu/etd_projects/574
