DocumentCode :
3603604
Title :
Software Plagiarism Detection with Birthmarks Based on Dynamic Key Instruction Sequences
Author :
Zhenzhou Tian ; Qinghua Zheng ; Ting Liu ; Ming Fan ; Eryue Zhuang ; Zijiang Yang
Author_Institution :
Dept. of Comput. Sci. & Technol., Xi´an Jiaotong Univ., Xi´an, China
Volume :
41
Issue :
12
fYear :
2015
Firstpage :
1217
Lastpage :
1235
Abstract :
A software birthmark is a unique characteristic of a program. Thus, comparing the birthmarks between the plaintiff and defendant programs provides an effective approach for software plagiarism detection. However, software birthmark generation faces two main challenges: the absence of source code and various code obfuscation techniques that attempt to hide the characteristics of a program. In this paper, we propose a new type of software birthmark called DYnamic Key Instruction Sequence (DYKIS) that can be extracted from an executable without the need for source code. The plagiarism detection algorithm based on our new birthmarks is resilient to both weak obfuscation techniques such as compiler optimizations and strong obfuscation techniques implemented in tools such as SandMark, Allatori and Upx. We have developed a tool called DYKIS-PD (DYKIS Plagiarism Detection tool) and conducted extensive experiments on large number of binary programs. The tool, the benchmarks and the experimental results are all publicly available.
Keywords :
fraud; program diagnostics; security of data; Allatori; DYKIS plagiarism detection tool; DYKIS-PD; SandMark; Upx; code obfuscation; compiler optimization; dynamic key instruction sequences; software birthmark; software plagiarism detection; source code; Heuristic algorithms; Licenses; Plagiarism; Software engineering; Watermarking; Software plagiarism detection; software birthmark; software plagiarism detection;
fLanguage :
English
Journal_Title :
Software Engineering, IEEE Transactions on
Publisher :
ieee
ISSN :
0098-5589
Type :
jour
DOI :
10.1109/TSE.2015.2454508
Filename :
7153572
Link To Document :
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