A data access model for privacy-preserving cloud-iot architectures

Maribel Fernández, Alex Franch Tapia, Jenjira Jaimunk, Manuel Martinez Chamorro, Bhavani Thuraisingham

Research output: Chapter in Book/Report/Conference proceedingConference paperpeer-review

11 Citations (Scopus)
328 Downloads (Pure)

Abstract

We propose a novel data collection and data sharing model for cloud-IoT architectures with an emphasis on data privacy. This model has been implemented in Privasee, an open source platform for privacy-aware web-application development, which provides a plug-in module to support IoT application development. Privasee uses a cloud-IoT architecture called DataBank. We provide examples and discuss future extensions.

Original languageEnglish
Title of host publicationSACMAT 2020 - Proceedings of the 25th ACM Symposium on Access Control Models and Technologies
PublisherAssociation for Computing Machinery
Pages191-202
Number of pages12
ISBN (Electronic)9781450375689
DOIs
Publication statusPublished - 10 Jun 2020
Event25th ACM Symposium on Access Control Models and Technologies, SACMAT 2020 - Barcelona, Spain
Duration: 10 Jun 202012 Jun 2020

Publication series

NameProceedings of ACM Symposium on Access Control Models and Technologies, SACMAT

Conference

Conference25th ACM Symposium on Access Control Models and Technologies, SACMAT 2020
Country/TerritorySpain
CityBarcelona
Period10/06/202012/06/2020

Keywords

  • Access control
  • Data collection
  • Data privacy
  • Internet of things
  • Privacy policy
  • Privacy-preserving platform

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