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Optimal Spot-Checking Ratio for Probabilistic Attacks in Remote Data Checking

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dc.contributor.authorPark, Younsoo-
dc.contributor.authorChoi, Jungwoo-
dc.contributor.authorKwon, Young-Bin-
dc.contributor.authorPark, Jaehwa-
dc.contributor.authorPark, Ho-Hyun-
dc.date.available2019-03-08T08:36:19Z-
dc.date.issued2017-08-
dc.identifier.issn1745-1361-
dc.identifier.urihttps://scholarworks.bwise.kr/cau/handle/2019.sw.cau/4147-
dc.description.abstractRemote data checking (RDC) is a scheme that allows clients to efficiently check the integrity of data stored at an untrusted server using spot-checking. Efforts have been consistently devoted toward improving the efficiency of such RDC schemes because they involve some overhead. In this letter, it is assumed that a probabilistic attack model is adopted, in which an adversary corrupts exposed blocks in the network with a certain probability. An optimal spot-checking ratio that simultaneously guarantees the robustness of the scheme and minimizes the overhead is obtained.-
dc.format.extent5-
dc.language영어-
dc.language.isoENG-
dc.publisherIEICE-INST ELECTRONICS INFORMATION COMMUNICATIONS ENG-
dc.titleOptimal Spot-Checking Ratio for Probabilistic Attacks in Remote Data Checking-
dc.typeArticle-
dc.identifier.doi10.1587/transinf.2016EDL8120-
dc.identifier.bibliographicCitationIEICE TRANSACTIONS ON INFORMATION AND SYSTEMS, v.E100D, no.8, pp 1911 - 1915-
dc.description.isOpenAccessY-
dc.identifier.wosid000406868400041-
dc.identifier.scopusid2-s2.0-85026539569-
dc.citation.endPage1915-
dc.citation.number8-
dc.citation.startPage1911-
dc.citation.titleIEICE TRANSACTIONS ON INFORMATION AND SYSTEMS-
dc.citation.volumeE100D-
dc.type.docTypeArticle-
dc.subject.keywordAuthorRDC-
dc.subject.keywordAuthorPDP-
dc.subject.keywordAuthorspot-checking-
dc.subject.keywordAuthorprobabilistic attack-
dc.subject.keywordAuthordelta-robustness-
dc.relation.journalResearchAreaComputer Science-
dc.relation.journalWebOfScienceCategoryComputer Science, Information Systems-
dc.relation.journalWebOfScienceCategoryComputer Science, Software Engineering-
dc.description.journalRegisteredClassscie-
dc.description.journalRegisteredClassscopus-
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