King's College London

Research portal

A Privacy-Preserving Architecture and Data-Sharing Model for Cloud-IoT Applications

Research output: Contribution to journalArticlepeer-review

Maribel Fernandez, Jenjira Jaimunk, Bhavani M. Thusaisingham

Original languageEnglish
Pages (from-to)1-12
Number of pages12
JournalIEEE Transactions on Dependable and Secure Computing
Early online date7 Sep 2022
Accepted/In press7 Sep 2022
E-pub ahead of print7 Sep 2022

Bibliographical note

Publisher Copyright: IEEE


  • TDSC.pdf

    main.pdf, 2.5 MB, application/pdf

    Uploaded date:21 Sep 2022

    Version:Accepted author manuscript

King's Authors


Many service providers offer their services in exchange for users' private data. Despite new regulations created to protect users privacy, users are often given little choice over the way their data is collected and used. To address privacy concerns in cloud-IoT applications, we propose to use an architecture, called Data Bank, which gives users fine-grained control over their data. Data Bank uses a category-based data access (CBDA) model which covers the whole data life-cycle, from data collection from IoT devices to data sharing with services. We show how dynamic policies can be specified using a new attribute-based instance of CBDA, and describe the use of policy graphs to visualise and analyse policies.

Download statistics

No data available

View graph of relations

© 2020 King's College London | Strand | London WC2R 2LS | England | United Kingdom | Tel +44 (0)20 7836 5454