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DAAV: Dynamic API Authority Vectors for Detecting Software Theft

Title
DAAV: Dynamic API Authority Vectors for Detecting Software Theft
Author
김상욱
Keywords
Graph; Random walk; Similarity; Software theft detection
Issue Date
2015-10
Publisher
ACM CIKM
Citation
International Conference on Information and Knowledge Management, Proceedings Volume 19-23-Oct-2015, 17 October 2015, Page. 1819-1822
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. © 2015 ACM.
URI
http://dl.acm.org/citation.cfm?doid=2806416.2806646http://hdl.handle.net/20.500.11754/28135
ISBN
978-1-4503-3794-6
DOI
10.1145/2806416.2806646
Appears in Collections:
COLLEGE OF ENGINEERING[S](공과대학) > COMPUTER SCIENCE AND ENGINEERING(컴퓨터공학부) > Articles
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