다자간 환경에서 프라이버시를 보호하는 효율적인 DBSCAN 군집화 기법
DC Field | Value | Language |
---|---|---|
dc.contributor.author | 김기성 | - |
dc.contributor.author | 정익래 | - |
dc.date.accessioned | 2021-09-08T09:37:30Z | - |
dc.date.available | 2021-09-08T09:37:30Z | - |
dc.date.created | 2021-06-16 | - |
dc.date.issued | 2010 | - |
dc.identifier.issn | 1598-3986 | - |
dc.identifier.uri | https://scholar.korea.ac.kr/handle/2021.sw.korea/118419 | - |
dc.description.abstract | We propose a practical privacy-preserving clustering protocol over horizontally partitioned data. We extend the DBSCAN clustering algorithm into a distributed protocol in which data providers mix real data with fake data to provide privacy. Our privacy-preserving clustering protocol is very efficient whereas the previous privacy-preserving protocols in the distributed environments are not practical to be used in real applications. The efficiency of our privacy-preserving clustering protocol over horizontally partitioned data is comparable with those of privacy-preserving clustering protocols in the non-distributed environments. | - |
dc.language | Korean | - |
dc.language.iso | ko | - |
dc.publisher | 한국정보보호학회 | - |
dc.title | 다자간 환경에서 프라이버시를 보호하는 효율적인 DBSCAN 군집화 기법 | - |
dc.title.alternative | Practical Privacy-Preserving DBSCAN Clustering Over Horizontally Partitioned Data | - |
dc.type | Article | - |
dc.contributor.affiliatedAuthor | 정익래 | - |
dc.identifier.bibliographicCitation | 정보보호학회논문지, v.20, no.3, pp.105 - 111 | - |
dc.relation.isPartOf | 정보보호학회논문지 | - |
dc.citation.title | 정보보호학회논문지 | - |
dc.citation.volume | 20 | - |
dc.citation.number | 3 | - |
dc.citation.startPage | 105 | - |
dc.citation.endPage | 111 | - |
dc.type.rims | ART | - |
dc.identifier.kciid | ART001461966 | - |
dc.description.journalClass | 2 | - |
dc.description.journalRegisteredClass | kci | - |
dc.subject.keywordAuthor | Privacy | - |
dc.subject.keywordAuthor | DBSCAN | - |
dc.subject.keywordAuthor | Clustering | - |
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