Privacy-preserving Distributed Movement Data Aggregation (Contributo in volume (capitolo o saggio))

Type

• Contributo in volume (capitolo o saggio) (Classe)
• Prodotto della ricerca (Classe)

Label

• Privacy-preserving Distributed Movement Data Aggregation (Contributo in volume (capitolo o saggio)) (literal)

Anno

• 2013-01-01T00:00:00+01:00 (literal)

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

• 10.1007/978-3-319-00615-4_13 (literal)

Alternative label

• Monreale A., Wang W.H., Pratesi F., Rinzivillo S., Pedreschi D., Andrienko G., Andrienko N. (2013)
  Privacy-preserving Distributed Movement Data Aggregation
  in Geographic Information Science at the Heart of Europe, 2013
  (literal)

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

• Monreale A., Wang W.H., Pratesi F., Rinzivillo S., Pedreschi D., Andrienko G., Andrienko N. (literal)

Pagina inizio

• 225 (literal)

Pagina fine

• 245 (literal)

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

• grant agreement 270833 (literal)

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

• http://link.springer.com/chapter/10.1007%2F978-3-319-00615-4_13 (literal)

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

• Geographic Information Science at the Heart of Europe (literal)

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

• 2013 (literal)

Note

• ISI Web of Science (WOS) (literal)
• PuMa (literal)

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

• Computer Science Department, University of Pisa, Italy; Stevens Institute of Technology, New Jork, USA; Computer Science Department, University of Pisa, Italy; CNR-ISTI, Pisa; Computer Science Department, University of Pisa, Italy; Fraunhofer IAIS Sankt, Augustin, Germany; Fraunhofer IAIS Sankt, Augustin, Germany (literal)

Titolo

• Privacy-preserving Distributed Movement Data Aggregation (literal)

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

• 978-3-319-00614-7 (literal)

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

• Danny Vandenbroucke, Bénédicte Bucher, Joep Crompvoets (literal)

Abstract

• We propose a novel approach to privacy-preserving analytical processing within a distributed setting, and tackle the problem of obtaining aggregated information about vehicle traffic in a city from movement data collected by individual vehicles and shipped to a central server. Movement data are sensitive because people's whereabouts have the potential to reveal intimate personal traits, such as religious or sexual preferences, and may allow re-identification of individuals in a database. We provide a privacy-preserving framework for movement data aggregation based on trajectory generalization in a distributed environment. The proposed solution, based on the differential privacy model and on sketching techniques for efficient data compression, provides a formal data protection safeguard. Using real-life data, we demonstrate the effectiveness of our approach also in terms of data utility preserved by the data transformation. (literal)

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

• SALVATORE RINZIVILLO (Persona)

Insieme di parole chiave

• Parole chiave di "Privacy-preserving Distributed Movement Data Aggregation" (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

• SALVATORE RINZIVILLO (Persona)

Insieme di parole chiave di

• Parole chiave di "Privacy-preserving Distributed Movement Data Aggregation" (Insieme di parole chiave)