Software plagiarism detection: A graph-based approach
DC Field | Value | Language |
---|---|---|
dc.contributor.author | Chae, Dong-Kyu | - |
dc.contributor.author | Ha, Jiwoon | - |
dc.contributor.author | Kim, Sang-Wook | - |
dc.contributor.author | Kang, Boo Joong | - |
dc.contributor.author | Im, Eul Gyu | - |
dc.date.accessioned | 2022-07-16T07:54:38Z | - |
dc.date.available | 2022-07-16T07:54:38Z | - |
dc.date.created | 2021-05-13 | - |
dc.date.issued | 2013-10 | - |
dc.identifier.issn | 0000-0000 | - |
dc.identifier.uri | https://scholarworks.bwise.kr/hanyang/handle/2021.sw.hanyang/161772 | - |
dc.description.abstract | As plagiarism of software increases rapidly, there are growing needs for software plagiarism detection systems. In this paper, we propose a software plagiarism detection system using an APIlabeled control flow graph (A-CFG) that abstracts the functionalities of a program. The A-CFG can reflect both the sequence and the frequency of APIs, while previous work rarely considers both of them together. To perform a scalable comparison of a pair of A-CFGs, we use random walk with restart (RWR) that computes an importance score for each node in a graph. By the RWR, we can generate a single score vector for an A-CFG and can also compare A-CFGs by comparing their score vectors. Extensive evaluations on a set of Windows applications demonstrate the effectiveness and the scalability of our proposed system compared with existing methods. | - |
dc.language | 영어 | - |
dc.language.iso | en | - |
dc.publisher | Association for Computing Machinary, Inc. | - |
dc.title | Software plagiarism detection: A graph-based approach | - |
dc.type | Article | - |
dc.contributor.affiliatedAuthor | Kim, Sang-Wook | - |
dc.contributor.affiliatedAuthor | Im, Eul Gyu | - |
dc.identifier.doi | 10.1145/2505515.2507848 | - |
dc.identifier.scopusid | 2-s2.0-84889596417 | - |
dc.identifier.bibliographicCitation | International Conference on Information and Knowledge Management, Proceedings, pp.1577 - 1580 | - |
dc.relation.isPartOf | International Conference on Information and Knowledge Management, Proceedings | - |
dc.citation.title | International Conference on Information and Knowledge Management, Proceedings | - |
dc.citation.startPage | 1577 | - |
dc.citation.endPage | 1580 | - |
dc.type.rims | ART | - |
dc.type.docType | Conference Paper | - |
dc.description.journalClass | 1 | - |
dc.description.isOpenAccess | N | - |
dc.description.journalRegisteredClass | scopus | - |
dc.subject.keywordPlus | Binary analysis | - |
dc.subject.keywordPlus | Control flow graphs | - |
dc.subject.keywordPlus | Graph | - |
dc.subject.keywordPlus | Graph-based | - |
dc.subject.keywordPlus | Random walk with restart | - |
dc.subject.keywordPlus | Similarity | - |
dc.subject.keywordPlus | Software plagiarisms | - |
dc.subject.keywordPlus | Windows application | - |
dc.subject.keywordPlus | Data flow analysis | - |
dc.subject.keywordPlus | Graphic methods | - |
dc.subject.keywordPlus | Knowledge management | - |
dc.subject.keywordPlus | Intellectual property | - |
dc.subject.keywordAuthor | Binary analysis | - |
dc.subject.keywordAuthor | Graph | - |
dc.subject.keywordAuthor | Similarity | - |
dc.subject.keywordAuthor | Software plagiarism | - |
dc.identifier.url | https://dl.acm.org/doi/10.1145/2505515.2507848 | - |
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