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DAAV: Dynamic API authority vectors for detecting software theft

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dc.contributor.authorChae, Dong-Kyu-
dc.contributor.authorKim, Sang-Wook-
dc.contributor.authorCho, Seong-Je-
dc.contributor.authorKim, Yesol-
dc.date.accessioned2022-07-15T20:45:51Z-
dc.date.available2022-07-15T20:45:51Z-
dc.date.created2021-05-13-
dc.date.issued2015-10-
dc.identifier.issn0000-0000-
dc.identifier.urihttps://scholarworks.bwise.kr/hanyang/handle/2021.sw.hanyang/156187-
dc.description.abstractThis 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.-
dc.language영어-
dc.language.isoen-
dc.publisherAssociation for Computing Machinery-
dc.titleDAAV: Dynamic API authority vectors for detecting software theft-
dc.typeArticle-
dc.contributor.affiliatedAuthorKim, Sang-Wook-
dc.identifier.doi10.1145/2806416.2806646-
dc.identifier.scopusid2-s2.0-84958251177-
dc.identifier.bibliographicCitationInternational Conference on Information and Knowledge Management, Proceedings, v.19-23-Oct-2015, pp.1819 - 1822-
dc.relation.isPartOfInternational Conference on Information and Knowledge Management, Proceedings-
dc.citation.titleInternational Conference on Information and Knowledge Management, Proceedings-
dc.citation.volume19-23-Oct-2015-
dc.citation.startPage1819-
dc.citation.endPage1822-
dc.type.rimsART-
dc.type.docTypeConference Paper-
dc.description.journalClass1-
dc.description.isOpenAccessN-
dc.description.journalRegisteredClassscopus-
dc.subject.keywordPlusCrime-
dc.subject.keywordPlusKnowledge management-
dc.subject.keywordPlusGraph-
dc.subject.keywordPlusRandom Walk-
dc.subject.keywordPlusSimilarity-
dc.subject.keywordPlusTheft detections-
dc.subject.keywordPlusComputer crime-
dc.subject.keywordAuthorGraph-
dc.subject.keywordAuthorRandom walk-
dc.subject.keywordAuthorSimilarity-
dc.subject.keywordAuthorSoftware theft detection-
dc.identifier.urlhttps://dl.acm.org/doi/10.1145/2806416.2806646-
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