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Effective and efficient detection of software theft via dynamic API authority vectors

Title
Effective and efficient detection of software theft via dynamic API authority vectors
Author
김상욱
Keywords
Birthmark; Software theft detection; Similarity analysis
Issue Date
2015-12
Publisher
ELSEVIER SCIENCE INC
Citation
JOURNAL OF SYSTEMS AND SOFTWARE, v. 110, Page. 1-9
Abstract
Software theft has become a very serious threat to both the software industry and individual software developers. A software birthmark indicates unique characteristics of a program in question, which can be used for analyzing the similarity of a pair of programs and detecting theft. This paper proposes a novel birthmark, a dynamic API authority vector (DAAV). DAAV satisfies four essential requirements for good birthmarks credibility, resiliency, scalability, and packing-free while existing static birthmarks are unable to handle the packed programs and existing dynamic birthmarks do not satisfy credibility and resiliency. Through our extensive experiments with a set of Windows applications, DAAV is shown to have not only the credibility and resiliency higher than the existing dynamic birthmarks but also the accuracy comparable to that of existing static birthmarks. This result indicates that our proposed birthmark provides high accuracy and also covers packed programs successfully in detecting software theft. (c) 2015 Elsevier Inc. All rights reserved.
URI
http://www.sciencedirect.com/science/article/pii/S016412121500179X?via%3Dihubhttp://hdl.handle.net/20.500.11754/30202
ISSN
0164-1212; 1873-1228
DOI
10.1016/j.jss.2015.08.018
Appears in Collections:
COLLEGE OF ENGINEERING[S](공과대학) > COMPUTER SCIENCE AND ENGINEERING(컴퓨터공학부) > Articles
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