Please use this identifier to cite or link to this item: https://hdl.handle.net/1959.11/63415
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dc.contributor.authorBrankovic, Ljiljanaen
dc.contributor.authorMiller, Mirkaen
dc.contributor.authorSiran, Jozefen
local.source.editorEditor(s): Rodney Toporen
dc.date.accessioned2024-10-10T22:16:21Z-
dc.date.available2024-10-10T22:16:21Z-
dc.date.issued1996-01-
dc.identifier.citationProceedings of the Seventh Australasian Database Conference (ADC'96), Australian Computer Science Communications, 18(2), p. 177-184en
dc.identifier.issn0157-3055en
dc.identifier.urihttps://hdl.handle.net/1959.11/63415-
dc.description.abstract<p>In this paper we consider the applicability of an auditing method for preventing a statistical database compromise. In 1982 Chin and Oszoyoglu proposed Audit Expert for the prevention of database compromise using SUM queries. As originally proposed, Audit Expert was meant to be used dynamically and it was considered suitable only for small databases. In the static mode Audit Expert is much more efficient both in the storage and time required and so can be used for large databases as well as small ones. Moreover, in static mode it is possible to achieve maximum usability of the database. However, sometimes this will prevent the system from answering queries which are particularly important. In this paper we consider the inclusion of a limited number of user-posed queries and its impact on the usability. Then we say that the Audit Expert is used in a hybrid mode. We prove that mazimising usability in a general hybrid Audit Expert is NP-complete and isolate certain restricted cases when maximising usability is polynomial.</p>en
dc.languageenen
dc.publisherAustralian Computer Science Communicationsen
dc.relation.ispartofProceedings of the Seventh Australasian Database Conference (ADC'96), Australian Computer Science Communicationsen
dc.titleTowards a Practical Auditing Method for the Prevention of Statistical Database Compromiseen
dc.typeConference Publicationen
dc.relation.conferenceADC 1996: Seventh Australasian Database Conference (ADC'96)en
local.contributor.firstnameLjiljanaen
local.contributor.firstnameMirkaen
local.contributor.firstnameJozefen
local.profile.schoolSchool of Science and Technologyen
local.profile.emaillbrankov@une.edu.auen
local.output.categoryE1en
local.record.placeauen
local.record.institutionUniversity of New Englanden
local.date.conference29th -30th January, 1996en
local.conference.placeMelbourne, Australiaen
local.publisher.placeAustraliaen
local.format.startpage177en
local.format.endpage184en
local.peerreviewedYesen
local.identifier.volume18en
local.identifier.issue2en
local.contributor.lastnameBrankovicen
local.contributor.lastnameMilleren
local.contributor.lastnameSiranen
dc.identifier.staffune-id:lbrankoven
local.profile.orcid0000-0002-5056-4627en
local.profile.roleauthoren
local.profile.roleauthoren
local.profile.roleauthoren
local.identifier.unepublicationidune:1959.11/63415en
dc.identifier.academiclevelAcademicen
dc.identifier.academiclevelAcademicen
dc.identifier.academiclevelAcademicen
local.title.maintitleTowards a Practical Auditing Method for the Prevention of Statistical Database Compromiseen
local.output.categorydescriptionE1 Refereed Scholarly Conference Publicationen
local.conference.detailsADC 1996: Seventh Australasian Database Conference (ADC'96), Melbourne, Australia, 29th -30th January, 1996en
local.search.authorBrankovic, Ljiljanaen
local.search.authorMiller, Mirkaen
local.search.authorSiran, Jozefen
local.uneassociationNoen
local.atsiresearchNoen
local.sensitive.culturalNoen
local.year.published1996en
local.fileurl.closedpublishedhttps://rune.une.edu.au/web/retrieve/24140125-c727-4e56-aa49-76a7aabc04d2en
local.subject.for2020460402 Data and information privacyen
local.subject.for2020490404 Combinatorics and discrete mathematics (excl. physical combinatorics)en
local.subject.seo2020220405 Cybersecurityen
local.date.start1996-01-29-
local.date.end1996-01-30-
local.profile.affiliationtypeExternal Affiliationen
local.profile.affiliationtypeExternal Affiliationen
local.profile.affiliationtypeExternal Affiliationen
Appears in Collections:Conference Publication
School of Science and Technology
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