Preserving privacy in semantic-rich trajectories of human mobility (Contributo in atti di convegno)

Type

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

Label

• Preserving privacy in semantic-rich trajectories of human mobility (Contributo in atti di convegno) (literal)

Anno

• 2010-01-01T00:00:00+01:00 (literal)

Alternative label

• Monreale A.; Trasarti R.; Renso C.; Pedreschi D.; Bogorny V. (2010)
  Preserving privacy in semantic-rich trajectories of human mobility
  in 3rd ACM SIGSPATIAL International Workshop on Security and Privacy in GIS and LBS, San Jose, CA, USA
  (literal)

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

• Monreale A.; Trasarti R.; Renso C.; Pedreschi D.; Bogorny V. (literal)

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

• In: SPRINGL 2010 - 3rd ACM SIGSPATIAL International Workshop on Security and Privacy in GIS and LBS (San Jose, CA, USA, 3-5 November 2010). Proceedings, pp. 47 - 54. ACM, 2010. (literal)

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

• ABSTRACT: The increasing abundance of data about the trajectories of personal movement is opening up new opportunities for an- alyzing and mining human mobility, but new risks emerge since it opens new ways of intruding into personal privacy. Representing the personal movements as sequences of places visited by a person during her/his movements - semantic trajectory - poses even greater privacy threats w.r.t. raw geometric location data. In this paper we propose a pri- vacy model defining the attack model of semantic trajectory linking, together with a privacy notion, called c-safety. This method provides an upper bound to the probability of in- ferring that a given person, observed in a sequence of non- sensitive places, has also stopped in any sensitive location. Coherently with the privacy model, we propose an algorithm for transforming any dataset of semantic trajectories into a c-safe one. We report a study on a real-life GPS trajec- tory dataset to show how our algorithm preserve (literal)

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

• Università di Pisa, CNR-ISTI, Pisa, UFSC, Florianopolis, SC, Brazil (literal)

Titolo

• Preserving privacy in semantic-rich trajectories of human mobility (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

• CHIARA RENSO (Unità di personale interno)
• ROBERTO TRASARTI (Persona)
• DINO PEDRESCHI (Persona)
• Anna Monreale (Persona)

Insieme di parole chiave

• Keywords of "Preserving privacy in semantic-rich trajectories of human mobility" (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

• CHIARA RENSO (Unità di personale interno)
• Anna Monreale (Persona)
• ROBERTO TRASARTI (Persona)
• DINO PEDRESCHI (Persona)

Insieme di parole chiave di

• Keywords of "Preserving privacy in semantic-rich trajectories of human mobility" (Insieme di parole chiave)