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Software plagiarism detection: a graph-based approach

Title
Software plagiarism detection: a graph-based approach
Author
임을규
Keywords
Software Plagiarism; Binary Analysis; Graph; Similarity
Issue Date
2013-10
Publisher
ACM New York
Citation
International Conference on Information and Knowledge Management, Proceedings, 2013, P.1577-1580
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 API-labeled 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.
URI
https://dl.acm.org/citation.cfm?id=2507848http://repository.hanyang.ac.kr/handle/20.500.11754/73178
ISBN
978-1-4503-2263-8
DOI
10.1145/2505515.2507848
Appears in Collections:
COLLEGE OF ENGINEERING[S](공과대학) > COMPUTER SCIENCE(컴퓨터소프트웨어학부) > Articles
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