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Software plagiarism detection via the static API call frequency birthmark

Authors
Chae, Dong-KyuHa, JiwoonLee, Sang-ChulKim, Sang-WookWoo, Gyun
Issue Date
Mar-2013
Publisher
Association for Computing Machinary, Inc.
Keywords
Birthmark; Static analysis
Citation
Proceedings of the ACM Symposium on Applied Computing, pp.1639 - 1643
Indexed
SCOPUS
Journal Title
Proceedings of the ACM Symposium on Applied Computing
Start Page
1639
End Page
1643
URI
https://scholarworks.bwise.kr/hanyang/handle/2021.sw.hanyang/163246
DOI
10.1145/2480362.2480668
ISSN
0000-0000
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.
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