Heap Graph Based Software Theft Detection

As JavaScript is becoming more and more popular, JavaScript programs are valuable assets to many companies. However, the source code of JavaScript programs can be easily obtained and plagiarism of JavaScript programs is a serious threat to the industry. There are techniques like code obfuscation and...

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Veröffentlicht in:IEEE transactions on information forensics and security Jg. 8; H. 1; S. 101 - 110
Hauptverfasser: Chan, P. P. F., Hui, L. C. K., Yiu, S. M.
Format: Journal Article
Sprache:Englisch
Veröffentlicht: New York, NY IEEE 01.01.2013
Institute of Electrical and Electronics Engineers
The Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Schlagworte:
Applied sciences
Arrays
Browsers
Code theft detection
Computer programs
Computer science; control theory; systems
Exact sciences and technology
heap graph
Information retrieval. Graph
Java (programming language)
Libraries
Memory and file management (including protection and security)
Memory organisation. Data processing
Mercury (metals)
Open source software
Reproduction
Robustness
Software
software birthmark
Software industry
software protection
Source code
Studies
Theft
Theoretical computing
Watermarking
Code generation
software protection
JAVA language
Evaluation scale
Scripting language
Program transformation
heap graph
Theft prevention
Stéganography
Graph theory
Copyright
Partially ordered set
Plagiarism
Efficiency
Intellectual property
Object oriented
Robustness
Large scale
Web site
software birthmark
Computer security
Digital watermarking
Software engineering
Code theft detection
ISSN:1556-6013, 1556-6021
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Zusammenfassung:As JavaScript is becoming more and more popular, JavaScript programs are valuable assets to many companies. However, the source code of JavaScript programs can be easily obtained and plagiarism of JavaScript programs is a serious threat to the industry. There are techniques like code obfuscation and watermarking which can make the source code of a program difficult to understand by humans and prove the ownership of the program. However, code obfuscation cannot avoid the source code being copied and a watermark can be defaced. In this paper, we use a relatively new technique, software birthmark, to help detect code theft of JavaScript programs. A birthmark is a unique characteristic a program possesses that can be used to identify the program. We extend two recent birthmark systems that extract the birthmark of a software from the run-time heap. We propose a redesigned system with improved robustness and performed extensive experiments to justify the effectiveness and robustness of it. Our evaluation based on 200 large-scale websites showed that our birthmark system exhibits 100% accuracy. We remark that it is solid and ready for practical use.
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ISSN:1556-6013
1556-6021
DOI:10.1109/TIFS.2012.2223685