Scaling Up Software Birthmarks Using Fuzzy Hashing
Autor: | Teruaki Yamamoto, Takehiro Tsuzaki, Akito Monden, Haruaki Tamada |
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Rok vydání: | 2017 |
Předmět: |
Fuzzy hashing
021110 strategic defence & security studies Computer Networks and Communications Computer science business.industry 0211 other engineering and technologies Software birthmark ComputingMilieux_LEGALASPECTSOFCOMPUTING 020207 software engineering 02 engineering and technology medicine.disease computer.software_genre Computer Graphics and Computer-Aided Design Computer Science Applications Software Artificial Intelligence 0202 electrical engineering electronic engineering information engineering medicine Preprocessor Birthmark Data mining business computer Scaling |
Zdroj: | International Journal of Software Innovation. 5:89-102 |
ISSN: | 2166-7179 2166-7160 |
DOI: | 10.4018/ijsi.2017070107 |
Popis: | To detect the software theft, software birthmarks have been proposed. Software birthmark systems extract software birthmarks, which are native characteristics of software, from binary programs, and compare them by computing the similarity between birthmarks. This paper proposes a new procedure for scaling up the birthmark systems. While conventional birthmark systems are composed of the birthmark extraction phase and the birthmark comparison phase, the proposed method adds two new phases between extraction and comparison, namely, compression phase, which employs fuzzy hashing, and pre-comparison phase, which aims to increase distinction property of birthmarks. The proposed method enables us to reduce the required time in the comparison phase, so that it can be applied to detect software theft among many larger scale software products. From an experimental evaluation, the authors found that the proposed method significantly reduces the comparison time, and keeps the distinction performance, which is one of the important properties of the birthmark. Also, the preservation performance is acceptable when the threshold value is properly set. |
Databáze: | OpenAIRE |
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