Privacy-preserving detection of anomalous phenomena in crowdsourced environmental sensing using fine-grained weighted voting

Research output: Contribution to journalArticlepeer-review

Original languageEnglish
Pages (from-to)733-762
Number of pages30
JournalGeoInformatica
Volume21
Issue number4
DOIs
StatePublished - Oct 1 2017

ASJC Scopus Subject Areas

  • Geography, Planning and Development
  • Information Systems

Keywords

  • Differential privacy
  • Location protection
  • Spatial crowdsourcing

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