Privacy-preserving architecture for cloud-IoT platforms

Maribel Fernandez, Jenjira Jaimunk, Bhavani Thuraisingham

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

14 Citations (Scopus)


We propose a cloud-IoT architecture, called Data Bank, aiming at protecting users' sensitive data by allowing them to control which kind of data is transmitted by their devices and providing supportive tools for agreement visualisation and privacy-utility trade-off. The architecture consists of several layers, from IoT objects in the lower layer to web and mobile applications in the top layer, with regulated communication mechanisms to transfer data from the lower level to data processing services in the top level. We illustrate our proposal with an example in a smart vehicle environment.

Original languageEnglish
Title of host publicationProceedings - 2019 IEEE International Conference on Web Services, ICWS 2019 - Part of the 2019 IEEE World Congress on Services
EditorsElisa Bertino, Carl K. Chang, Peter Chen, Ernesto Damiani, Ernesto Damiani, Michael Goul, Katsunori Oyama
PublisherInstitute of Electrical and Electronics Engineers Inc.
Number of pages9
ISBN (Electronic)9781728127170
Publication statusPublished - 1 Jul 2019
Event26th IEEE International Conference on Web Services, ICWS 2019 - Milan, Italy
Duration: 8 Jul 201913 Jul 2019


Conference26th IEEE International Conference on Web Services, ICWS 2019


  • Cloud architecture
  • Cloud services
  • Data management
  • Internet of Things (IoT)
  • Privacy preservation
  • Privacy protection


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