Software Plagiarism Detection via the Static API Call Frequency Birthmark
- Title
- Software Plagiarism Detection via the Static API Call Frequency Birthmark
- Author
- 김상욱
- Keywords
- birthmark; static analysis
- Issue Date
- 2013-03
- Publisher
- ACM
- Citation
- SAC '13 Proceedings of the 28th Annual ACM Symposium on Applied Computing , 1639-1643
- Abstract
- In this paper, we propose a system for detecting software plagiarism using a birthmark. The birthmark is representative features of a program, which can be used to identify the program. We use a set of frequency of APIs used in a program as its birthmark. The proposed system consists of three components. First, it extracts the frequency of APIs employed in a program. Next, it generates the program birthmark using a set of frequency of APIs and weights to APIs to extract unique features of the program. Finally, it decides the plagiarism based on the cosine similarity between the birthmarks. Through extensive experiments, it was found that the proposed system can provide 97.2% of precision and 95.7% of recall in plagiarism detection.
- URI
- https://dl.acm.org/citation.cfm?id=2480668https://repository.hanyang.ac.kr/handle/20.500.11754/73087
- ISBN
- 978-1-4503-1656-9
- DOI
- 10.1145/2480362.2480668
- Appears in Collections:
- COLLEGE OF ENGINEERING[S](공과대학) > COMPUTER SCIENCE(컴퓨터소프트웨어학부) > Articles
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