Generating Microdata with P -Sensitive K -Anonymity Property
Identifieur interne : 000E46 ( Main/Exploration ); précédent : 000E45; suivant : 000E47Generating Microdata with P -Sensitive K -Anonymity Property
Auteurs : Marius Truta [États-Unis] ; Alina Campan [Roumanie] ; Paul Meyer [États-Unis]Source :
- Lecture Notes in Computer Science [ 0302-9743 ] ; 2007.
Abstract
Abstract: Existing privacy regulations together with large amounts of available data have created a huge interest in data privacy research. A main research direction is built around the k-anonymity property. Several shortcomings of the k-anonymity model have been fixed by new privacy models such as p-sensitive k-anonymity, l-diversity, α, k-anonymity, and t-closeness. In this paper we introduce the EnhancedPKClustering algorithm for generating p-sensitive k-anonymous microdata based on frequency distribution of sensitive attribute values. The p-sensitive k-anonymity model and its enhancement, extended p-sensitive k-anonymity, are described, their properties are presented, and two diversity measures are introduced. Our experiments have shown that the proposed algorithm improves several cost measures over existing algorithms.
Url:
DOI: 10.1007/978-3-540-75248-6_9
Affiliations:
Links toward previous steps (curation, corpus...)
- to stream Istex, to step Corpus: 003038
- to stream Istex, to step Curation: 002E03
- to stream Istex, to step Checkpoint: 000861
- to stream Main, to step Merge: 000E59
- to stream Main, to step Curation: 000E46
Le document en format XML
<record><TEI wicri:istexFullTextTei="biblStruct"><teiHeader><fileDesc><titleStmt><title xml:lang="en">Generating Microdata with P -Sensitive K -Anonymity Property</title><author><name sortKey="Truta, Marius" sort="Truta, Marius" uniqKey="Truta M" first="Marius" last="Truta">Marius Truta</name></author><author><name sortKey="Campan, Alina" sort="Campan, Alina" uniqKey="Campan A" first="Alina" last="Campan">Alina Campan</name></author><author><name sortKey="Meyer, Paul" sort="Meyer, Paul" uniqKey="Meyer P" first="Paul" last="Meyer">Paul Meyer</name></author></titleStmt><publicationStmt><idno type="wicri:source">ISTEX</idno><idno type="RBID">ISTEX:90A0AAC6E2704475FDC3FDED71744A7C69BC1861</idno><date when="2007" year="2007">2007</date><idno type="doi">10.1007/978-3-540-75248-6_9</idno><idno type="url">https://api.istex.fr/document/90A0AAC6E2704475FDC3FDED71744A7C69BC1861/fulltext/pdf</idno><idno type="wicri:Area/Istex/Corpus">003038</idno><idno type="wicri:Area/Istex/Curation">002E03</idno><idno type="wicri:Area/Istex/Checkpoint">000861</idno><idno type="wicri:doubleKey">0302-9743:2007:Truta M:generating:microdata:with</idno><idno type="wicri:Area/Main/Merge">000E59</idno><idno type="wicri:Area/Main/Curation">000E46</idno><idno type="wicri:Area/Main/Exploration">000E46</idno></publicationStmt><sourceDesc><biblStruct><analytic><title level="a" type="main" xml:lang="en">Generating Microdata with P -Sensitive K -Anonymity Property</title><author><name sortKey="Truta, Marius" sort="Truta, Marius" uniqKey="Truta M" first="Marius" last="Truta">Marius Truta</name><affiliation wicri:level="2"><country xml:lang="fr">États-Unis</country><wicri:regionArea>Department of Computer Science, Northern Kentucky University, Highland Heights, KY 41099</wicri:regionArea><placeName><region type="state">Kentucky</region></placeName></affiliation><affiliation wicri:level="1"><country wicri:rule="url">États-Unis</country></affiliation></author><author><name sortKey="Campan, Alina" sort="Campan, Alina" uniqKey="Campan A" first="Alina" last="Campan">Alina Campan</name><affiliation wicri:level="1"><country xml:lang="fr">Roumanie</country><wicri:regionArea>Department of Computer Science, Babes-Bolyai University, Cluj-Napoca, RO-400084</wicri:regionArea><wicri:noRegion>RO-400084</wicri:noRegion></affiliation><affiliation wicri:level="1"><country wicri:rule="url">Roumanie</country></affiliation></author><author><name sortKey="Meyer, Paul" sort="Meyer, Paul" uniqKey="Meyer P" first="Paul" last="Meyer">Paul Meyer</name><affiliation wicri:level="2"><country xml:lang="fr">États-Unis</country><wicri:regionArea>Department of Computer Science, Northern Kentucky University, Highland Heights, KY 41099</wicri:regionArea><placeName><region type="state">Kentucky</region></placeName></affiliation><affiliation wicri:level="1"><country wicri:rule="url">États-Unis</country></affiliation></author></analytic><monogr></monogr><series><title level="s">Lecture Notes in Computer Science</title><imprint><date>2007</date></imprint><idno type="ISSN">0302-9743</idno><idno type="eISSN">1611-3349</idno><idno type="ISSN">0302-9743</idno></series><idno type="istex">90A0AAC6E2704475FDC3FDED71744A7C69BC1861</idno><idno type="DOI">10.1007/978-3-540-75248-6_9</idno><idno type="ChapterID">9</idno><idno type="ChapterID">Chap9</idno></biblStruct></sourceDesc><seriesStmt><idno type="ISSN">0302-9743</idno></seriesStmt></fileDesc><profileDesc><textClass></textClass><langUsage><language ident="en">en</language></langUsage></profileDesc></teiHeader><front><div type="abstract" xml:lang="en">Abstract: Existing privacy regulations together with large amounts of available data have created a huge interest in data privacy research. A main research direction is built around the k-anonymity property. Several shortcomings of the k-anonymity model have been fixed by new privacy models such as p-sensitive k-anonymity, l-diversity, α, k-anonymity, and t-closeness. In this paper we introduce the EnhancedPKClustering algorithm for generating p-sensitive k-anonymous microdata based on frequency distribution of sensitive attribute values. The p-sensitive k-anonymity model and its enhancement, extended p-sensitive k-anonymity, are described, their properties are presented, and two diversity measures are introduced. Our experiments have shown that the proposed algorithm improves several cost measures over existing algorithms.</div></front></TEI><affiliations><list><country><li>Roumanie</li><li>États-Unis</li></country><region><li>Kentucky</li></region></list><tree><country name="États-Unis"><region name="Kentucky"><name sortKey="Truta, Marius" sort="Truta, Marius" uniqKey="Truta M" first="Marius" last="Truta">Marius Truta</name></region><name sortKey="Meyer, Paul" sort="Meyer, Paul" uniqKey="Meyer P" first="Paul" last="Meyer">Paul Meyer</name><name sortKey="Meyer, Paul" sort="Meyer, Paul" uniqKey="Meyer P" first="Paul" last="Meyer">Paul Meyer</name><name sortKey="Truta, Marius" sort="Truta, Marius" uniqKey="Truta M" first="Marius" last="Truta">Marius Truta</name></country><country name="Roumanie"><noRegion><name sortKey="Campan, Alina" sort="Campan, Alina" uniqKey="Campan A" first="Alina" last="Campan">Alina Campan</name></noRegion><name sortKey="Campan, Alina" sort="Campan, Alina" uniqKey="Campan A" first="Alina" last="Campan">Alina Campan</name></country></tree></affiliations></record>Pour manipuler ce document sous Unix (Dilib)
EXPLOR_STEP=$WICRI_ROOT/Ticri/CIDE/explor/OcrV1/Data/Main/Exploration
HfdSelect -h $EXPLOR_STEP/biblio.hfd -nk 000E46 | SxmlIndent | more
Ou
HfdSelect -h $EXPLOR_AREA/Data/Main/Exploration/biblio.hfd -nk 000E46 | SxmlIndent | more
Pour mettre un lien sur cette page dans le réseau Wicri
{{Explor lien
|wiki= Ticri/CIDE
|area= OcrV1
|flux= Main
|étape= Exploration
|type= RBID
|clé= ISTEX:90A0AAC6E2704475FDC3FDED71744A7C69BC1861
|texte= Generating Microdata with P -Sensitive K -Anonymity Property
}}
| This area was generated with Dilib version V0.6.32. |  |