A policy framework for subject-driven data sharing

Mohammad Jabed Morshed Chowdhury, Alan Colman, Jun Han, Ashad Kabir

Research output: Book chapter/Published conference paperConference paper

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Abstract

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.
Original languageEnglish
Title of host publication51st Hawaii International Conference on System Sciences (HICSS)
Place of PublicationRed Hook, NY
PublisherCurran Associates, Inc
Pages4713-4722
Number of pages10
ISBN (Electronic)9781510856554
DOIs
Publication statusPublished - 03 Jan 2018
Event51st Hawaii International Conference on System Sciences - Hilton Waikoloa Village , Waikoloa Village, United States
Duration: 03 Jan 201806 Jan 2018
http://hicss.hawaii.edu/wp-content/uploads/2016/09/hicss51-program-180104.pdf (program)
https://scholarspace.manoa.hawaii.edu/handle/10125/49887 (proceedings)

Conference

Conference51st Hawaii International Conference on System Sciences
CountryUnited States
CityWaikoloa Village
Period03/01/1806/01/18
Internet address

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    Chowdhury, M. J. M., Colman, A., Han, J., & Kabir, A. (2018). A policy framework for subject-driven data sharing. In 51st Hawaii International Conference on System Sciences (HICSS) (pp. 4713-4722). Curran Associates, Inc. https://doi.org/10.24251/HICSS.2018.594