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A Survey of Feature Extraction Techniques to Detect the Theft of Windows Applications
- Source :
- IMIS
- Publication Year :
- 2013
- Publisher :
- IEEE, 2013.
-
Abstract
- As software industry has been grown, it occurs more frequently to illegally copy software or to steal the core modules of a program. In order to detect program plagiarism, similarity analysis of suspicious programs based on source codes is one of accurate methods. However, the source codes are not always available. Therefore, it is necessary to analyze and determine software piracy or theft with only binary executables that are release versions of their products. In this paper, we propose a method to extract the feature information from the binary codes of the executable files on MS Windows systems in order to determine whether software is pirated or core modules of a program are stolen. We perform a small experiment to detect program similarity and plagiarism by comparing the statically extracted features of target programs.
- Subjects :
- Source code
Database
Computer science
business.industry
media_common.quotation_subject
Feature extraction
ComputingMilieux_LEGALASPECTSOFCOMPUTING
Static program analysis
computer.file_format
computer.software_genre
Software
Microsoft Windows
Backporting
Executable
Software system
business
computer
media_common
Subjects
Details
- Database :
- OpenAIRE
- Journal :
- 2013 Seventh International Conference on Innovative Mobile and Internet Services in Ubiquitous Computing
- Accession number :
- edsair.doi...........48852d7c7c0e92d68fab053e29bf203b
- Full Text :
- https://doi.org/10.1109/imis.2013.131