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DAAV: Dynamic API authority vectors for detecting software theft

Authors
Chae, Dong-KyuKim, Sang-WookCho, Seong-JeKim, Yesol
Issue Date
Oct-2015
Publisher
Association for Computing Machinery
Keywords
Graph; Random walk; Similarity; Software theft detection
Citation
International Conference on Information and Knowledge Management, Proceedings, v.19-23-Oct-2015, pp.1819 - 1822
Indexed
SCOPUS
Journal Title
International Conference on Information and Knowledge Management, Proceedings
Volume
19-23-Oct-2015
Start Page
1819
End Page
1822
URI
https://scholarworks.bwise.kr/hanyang/handle/2021.sw.hanyang/156187
DOI
10.1145/2806416.2806646
ISSN
0000-0000
Abstract
This paper proposes a novel birthmark, a dynamic API authority vector (DAAV), for detecting software theft. DAAV satisfies four essential requirements for good birthmarks-credibility, resiliency, scalability, and packing-free-while existing birthmarks fail to satisfy all of them together. In particular, existing static birthmarks are unable to handle the packed programs and existing dynamic birthmarks do not satisfy credibility and resiliency. Our experimental results demonstrate that DAAV provides satisfying credibility and resiliency compared with existing dynamic birthmarks and also can cover packed programs.
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COLLEGE OF ENGINEERING (SCHOOL OF COMPUTER SCIENCE)
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