Volume 9 Number 6 (Jun. 2014)
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JSW 2014 Vol.9(6): 1401-1411 ISSN: 1796-217X
doi: 10.4304/jsw.9.6.1401-1411

Identifying Software Theft Based on Classification of Multi-Attribute Features

Ye Guo1, Mingyu Wang1, Yangxia Luo1, 2

1School of information, Xi'an University of finance and economics, China
2NWU (China) -Irdeto Network-Information Security Joint Laboratory (NISL), Xi’an, China

Abstract—Due to the low performance caused by the traditional "embedded" watermark and the shortages about low accuracy and weak anti-aggressive of single-attribute birthmark in checking obfuscated software theft, a software identification scheme is proposed which is based on classification of multi-dimensional features. After disassembly analysis and static analysis on protecting software and its resisting semantics-preserving transformations, the algorithm extracts features from many dimensions, which combines the statistic and semantic features to reflect the behavior characteristic of the software, analyzing and detecting theft based on similarities of software instead of traditional ways depending on a trusted third party or alone-similarity threshold. Through giving the formal description about the algorithm, depicting the algorithm realization, after comparisons and analysis from the qualitative and quantitative, theoretical and experimental aspects, the results show that the algorithm contributes to the resistance to attacks, as well as the robustness and credibility, and has advantages compared with similar methods.

Index Terms—software theft, classification learning, multi-dimension features, software birthmark


Cite: Ye Guo, Mingyu Wang, Yangxia Luo, "Identifying Software Theft Based on Classification of Multi-Attribute Features," Journal of Software vol. 9, no. 6, pp. 1401-1411, 2014.

General Information

ISSN: 1796-217X (Online)
Frequency:  Quarterly
Editor-in-Chief: Prof. Antanas Verikas
Executive Editor: Ms. Yoyo Y. Zhou
Abstracting/ Indexing: DBLP, EBSCO, CNKIGoogle Scholar, ProQuest, INSPEC(IET), ULRICH's Periodicals Directory, WorldCat, etc
E-mail: jsweditorialoffice@gmail.com
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