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A Policy Framework for Subject-Driven Data Sharing

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conference contribution
posted on 2024-07-11, 13:55 authored by Mohammad Jabed Morshed Chowdhury, Alan Colman, Jun HanJun Han, Muhammad Ashad Kabir
Organizations (e.g., hospitals, university etc.) are custodians of data on their clients and use this information to improve their service. Personal data of an individual therefore ends up hosted under the administration of different data custodians. Individuals (data subjects) may want to share their data with others for various reasons. However, existing data sharing mechanisms provided by the data custodians do not provide individuals enough flexibility to share their data, especially in a cross-domain (data custodian) environment. In this paper, we propose a data sharing policy language and related framework for a data subject to capture their fine-grained data sharing requirements. This proposed language allows the data subject to define data sharing policies that consider context conditions, privacy obligations and re-sharing restrictions. Furthermore, we have implemented a prototype to demonstrate how data subjects can define their data sharing policies and how the policies can be used and enforced at runtime.

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PDF (Published version)

ISBN

9780998133119

ISSN

1530-1605

Journal title

Proceedings of the 51st Hawaii International Conference on System Sciences, 'HICSS'

Conference name

The 51st Hawaii International Conference on System Sciences, 'HICSS'

Volume

2018-January

Pagination

9 pp

Publisher

Hawaii International Conference on System Sciences

Copyright statement

Copyright © 2018 the author(s). Licensed for Open Access: Attribution-NonCommercial-NoDerivatives 4.0 International https://creativecommons.org/licenses/by-nc-nd/4.0/

Language

eng

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