Full metadata record
DC Field | Value | Language |
---|---|---|
dc.contributor.author | 김상욱 | - |
dc.date.accessioned | 2018-07-26T04:59:05Z | - |
dc.date.available | 2018-07-26T04:59:05Z | - |
dc.date.issued | 2013-03 | - |
dc.identifier.citation | SAC '13 Proceedings of the 28th Annual ACM Symposium on Applied Computing , 1639-1643 | en_US |
dc.identifier.isbn | 978-1-4503-1656-9 | - |
dc.identifier.uri | https://dl.acm.org/citation.cfm?id=2480668 | - |
dc.identifier.uri | https://repository.hanyang.ac.kr/handle/20.500.11754/73087 | - |
dc.description.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. | en_US |
dc.description.sponsorship | This research was supported by (1) the MCST (Ministry of Culture, Sports and Tourism) and Korea Copyright Commission in 2012, (2) Business for Cooperative R&D between Industry, Academy, and Research Institute funded Korea Small and Medium Business Administration in 2012 (Grants No. C0006278), (3) Semiconductor Industry Collaborative Project between Hanyang University and Samsung Electronics Co. Ltd., and (4) 1642 MKE (The Ministry of Knowledge Economy), Korea and Microsoft Research, under IT/SW Creative research program (NIPA-2012-H0503-12-1018) supervised by the NIPA (National IT Industry Promotion Agency). | en_US |
dc.language.iso | en | en_US |
dc.publisher | ACM | en_US |
dc.subject | birthmark | en_US |
dc.subject | static analysis | en_US |
dc.title | Software Plagiarism Detection via the Static API Call Frequency Birthmark | en_US |
dc.type | Article | en_US |
dc.identifier.doi | 10.1145/2480362.2480668 | - |
dc.relation.page | 1639-1643 | - |
dc.contributor.googleauthor | Chae, Dong-Kyu | - |
dc.contributor.googleauthor | Kim, Sang-Wook | - |
dc.contributor.googleauthor | Ha, Jiwoon | - |
dc.contributor.googleauthor | Lee, Sang-Chul | - |
dc.contributor.googleauthor | Woo, Gyun | - |
dc.relation.code | 20130201 | - |
dc.sector.campus | S | - |
dc.sector.daehak | COLLEGE OF ENGINEERING[S] | - |
dc.sector.department | DEPARTMENT OF COMPUTER SCIENCE | - |
dc.identifier.pid | wook | - |
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