NDLI: SODB: A Novel method for Software Plagiarism Detection based on Stack Operation Dynamic Birthmark

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SODB: A Novel method for Software Plagiarism Detection based on Stack Operation Dynamic Birthmark

Content Provider	Semantic Scholar
Author	Fan, Ming Liu, Jianzhuang Zheng, Qinghua Tian, Zhenzhou Zhuang, Eryue Liu, Ting
Copyright Year	2014
Abstract	中图分类号: TP309.7 SODB: A Novel method for Software Plagiarism Detection based on Stack Operation Dynamic Birthmark Ming Fan, Jun Liu, Qinghua Zheng, Zhenzhou Tian,Eryue Zhuang Ting Liu MOE Key Lab. for Intelligent Networks and Network Security, Xian Jiaotong University, Xian 710049, China 2 School of Software and Microelectronic, Northwestern Polytechnical University , Xi’an 710049, China Abstract: Software plagiarism detection is one of the key techniques for the protection of software intellectual property. In this paper, a new kind of dynamic birthmark SODB (Stack Operation Dynamic Birthmark) is proposed, which utilizes the characteristics of push and pop operation of call stack during program execution, to uniquely identify the program. Plagiarism detection is realized by evaluating the similarity of their SODBs among different programs providing the same inputs. In the experiments, 35 versions of 14 different software taken from the SourceForge are selected, based on which we generated totally 87 samples by processing with different compilers and optimization levels and semantic-preserving code obfuscation techniques. The quality of our SODB are evaluated with these 87 experimental objects, and the results show that our method can accurately recognize plagiarism between copies and distinguish between independently implemented programs with only about 6.7% misjudgement rate and 7% false negative rate at the absence of software source code.
File Format	PDF HTM / HTML
Alternate Webpage(s)	https://labs.xjtudlc.com/labs/wlaq/dbpd/site/papers/ctcis2014.pdf
Language	English
Access Restriction	Open
Content Type	Text
Resource Type	Article

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