Publication Date
Spring 2018
Degree Type
Master's Project
Degree Name
Master of Science (MS)
Department
Computer Science
Abstract
This research is focused on a novel approach to detect malware based on static analysis of executable files. Specifically, we treat each executable file as a twodimensional image and use robust hashing techniques to identify whether a given executable belongs to a particular family or not. The hashing stage comprises two steps, namely, feature extraction, and compression. We compare our robust hashing approach to other machine learning-based techniques.
Recommended Citation
Huang, Wei-Chung, "Image Robust Hashing for Malware Detection" (2018). Master's Projects. 625.
DOI: https://doi.org/10.31979/etd.y28j-9k9u
https://scholarworks.sjsu.edu/etd_projects/625
