DocumentCode
3111701
Title
A Survey of Feature Extraction Techniques to Detect the Theft of Windows Applications
Author
JongCheon Choi ; YongMan Han ; Seong-je Cho ; HaeYoung Yoo ; Ilsun You ; Minkyu Park ; Sangchul Han ; Inshik Song
Author_Institution
Dept. of Comput. Sci., Dankook Univ., Yongin, South Korea
fYear
2013
fDate
3-5 July 2013
Firstpage
723
Lastpage
728
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.
Keywords
DP industry; binary codes; computer crime; information retrieval; reproduction (copying); source coding; MS Windows system; binary executable code; feature information extraction technique; file execution; illegal software copy; program core module; program plagiarism detection; similarity analysis; software industry; software piracy; source code; theft detection; Assembly; Binary codes; Feature extraction; Java; Resilience; Software; Software measurement; Binary executable; Feature extraction; Software birthmark; Software theft; Windows application;
fLanguage
English
Publisher
ieee
Conference_Titel
Innovative Mobile and Internet Services in Ubiquitous Computing (IMIS), 2013 Seventh International Conference on
Conference_Location
Taichung
Type
conf
DOI
10.1109/IMIS.2013.131
Filename
6603765
Link To Document