Full metadata record
DC Field | Value | Language |
---|---|---|
dc.contributor.author | 김상욱 | - |
dc.date.accessioned | 2017-10-23T07:28:21Z | - |
dc.date.available | 2017-10-23T07:28:21Z | - |
dc.date.issued | 2015-12 | - |
dc.identifier.citation | JOURNAL OF SYSTEMS AND SOFTWARE, v. 110, Page. 1-9 | en_US |
dc.identifier.issn | 0164-1212 | - |
dc.identifier.issn | 1873-1228 | - |
dc.identifier.uri | http://www.sciencedirect.com/science/article/pii/S016412121500179X?via%3Dihub | - |
dc.identifier.uri | http://hdl.handle.net/20.500.11754/30202 | - |
dc.description.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. | en_US |
dc.description.sponsorship | This research was supported by (1) Ministry of Culture, Sports, and Tourism (MCST) via Korea Copyright Commission in 2014, (2) the National Research Foundation of Korea (NRF) grant funded by the Korea government (MSIP) (no. NRF-2014R1A2A1A10054151), (3) the Ministry of Science, ICT and Future Planning (MSIP), Korea, under the Information Technology Research Center (ITRC) support program (NIPA-2014-H0301-14-1022) supervised by the National IT Industry Promotion Agency (NIPA), and (4) Semiconductor Industry Collaborative Project between Hanyang University and Samsung Electronics Co. Ltd. | en_US |
dc.language.iso | en | en_US |
dc.publisher | ELSEVIER SCIENCE INC | en_US |
dc.subject | Birthmark | en_US |
dc.subject | Software theft detection | en_US |
dc.subject | Similarity analysis | en_US |
dc.title | Effective and efficient detection of software theft via dynamic API authority vectors | en_US |
dc.type | Article | en_US |
dc.relation.volume | 110 | - |
dc.identifier.doi | 10.1016/j.jss.2015.08.018 | - |
dc.relation.page | 1-9 | - |
dc.relation.journal | JOURNAL OF SYSTEMS AND SOFTWARE | - |
dc.contributor.googleauthor | Chae, Dong-Kyu | - |
dc.contributor.googleauthor | Kim, Sang-Wook | - |
dc.contributor.googleauthor | Cho, Seong-Je | - |
dc.contributor.googleauthor | Kim, Yesol | - |
dc.relation.code | 2015013125 | - |
dc.sector.campus | S | - |
dc.sector.daehak | COLLEGE OF ENGINEERING[S] | - |
dc.sector.department | DEPARTMENT OF COMPUTER SCIENCE | - |
dc.identifier.pid | wook | - |
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