Privacy-Preserving Data Mining from Outsourced Databases (Contributo in atti di convegno)

Type

• Prodotto della ricerca (Classe)
• Contributo in atti di convegno (Classe)

Label

• Privacy-Preserving Data Mining from Outsourced Databases (Contributo in atti di convegno) (literal)

Anno

• 2011-01-01T00:00:00+01:00 (literal)

Http://www.cnr.it/ontology/cnr/pubblicazioni.owl#doi

• 10.1007/978-94-007-0641-5_19 (literal)

Alternative label

• Giannotti, Fosca; Lakshmanan, Laks V. S.; Monreale, Anna; Pedreschi, Dino; Wang, Hui (2011)
  Privacy-Preserving Data Mining from Outsourced Databases
  in Computers, Privacy and Data Protection: an Element of Choice, Bruxelles, Gennaio 2010
  (literal)

Http://www.cnr.it/ontology/cnr/pubblicazioni.owl#autori

• Giannotti, Fosca; Lakshmanan, Laks V. S.; Monreale, Anna; Pedreschi, Dino; Wang, Hui (literal)

Pagina inizio

• 411 (literal)

Pagina fine

• 426 (literal)

Http://www.cnr.it/ontology/cnr/pubblicazioni.owl#altreInformazioni

• Area di valutazione 01 - Scienze matematiche e informatiche ID_PUMA: /cnr.isti/2011-A2-119 ISBN dell'edizione print: 978-94-007-0640-8 (literal)

Http://www.cnr.it/ontology/cnr/pubblicazioni.owl#titoloVolume

• Computers, Privacy and Data Protection: an Element of Choice, Part. 4 (literal)

Http://www.cnr.it/ontology/cnr/pubblicazioni.owl#affiliazioni

• CNR-ISTI, Pisa; Univ. of British Columbia, CANADA; Department of Computer Science, University of Pisa; Stevens Inst. of Tech., New. York State Univ. (literal)

Titolo

• Privacy-Preserving Data Mining from Outsourced Databases (literal)

Http://www.cnr.it/ontology/cnr/pubblicazioni.owl#isbn

• 978-94-007-0641-5 (literal)

Http://www.cnr.it/ontology/cnr/pubblicazioni.owl#curatoriVolume

• Gutwirth, Serge and Poullet, Yves and De Hert, Paul and Leenes, Ronald (literal)

Abstract

• Spurred by developments such as cloud computing, there has been considerable recent interest in the paradigm of data mining-as-service: a company (data owner) lacking in expertise or computational resources can outsource its mining needs to a third party service provider (server). However, both the outsourced database and the knowledge extract from it by data mining are considered private property of the data owner. To protect corporate privacy, the data owner transforms its data and ships it to the server, sends mining queries to the server, and recovers the true patterns from the extracted patterns received from the server. In this paper, we study the problem of outsourcing a data mining task within a corporate privacy-preserving framework. We propose a scheme for privacy-preserving outsourced mining which offers a formal protection against information disclosure, and show that the data owner can recover the correct data mining results efficiently. (literal)

Editore

• Springer Science+Business Media (Editore)

Prodotto di

• Istituto di scienza e tecnologie dell'informazione \"Alessandro Faedo\" (ISTI) (Istituto)
• Knowledge Discovery and Data Mining (ICT.P08.009.003) (Modulo)

Autore CNR

• FOSCA GIANNOTTI (Unità di personale interno)

Insieme di parole chiave

• Parole chiave di "Privacy-Preserving Data Mining from Outsourced Databases" (Insieme di parole chiave)

Incoming links:

Prodotto

• Istituto di scienza e tecnologie dell'informazione \"Alessandro Faedo\" (ISTI) (Istituto)
• Knowledge Discovery and Data Mining (ICT.P08.009.003) (Modulo)

Autore CNR di

• FOSCA GIANNOTTI (Unità di personale interno)

Editore di

• Springer Science+Business Media (Editore)

Insieme di parole chiave di

• Parole chiave di "Privacy-Preserving Data Mining from Outsourced Databases" (Insieme di parole chiave)