Publication Date
Spring 2014
Degree Type
Master's Project
Degree Name
Master of Science (MS)
Department
Computer Science
Abstract
In this paper, we consider the problem of detecting software that has been pirated and modified. We analyze a variety of detection techniques that have been previously studied in the context of malware detection. For each technique, we empirically determine the detection rate as a function of the degree of modification of the original code. We show that the code must be greatly modified before we fail to reliably distinguish it, and we show that our results offer a significant improvement over previous related work. Our approach can be applied retroactively to any existing software and hence, it is both practical and effective.
Recommended Citation
Rana, Hardikkumar, "Hunting for Pirated Software Using Metamorphic Analysis" (2014). Master's Projects. 345.
DOI: https://doi.org/10.31979/etd.8zg6-mk26
https://scholarworks.sjsu.edu/etd_projects/345
