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Enabling data sharing in contextual environments: policy representation and analysis

Enabling data sharing in contextual environments: policy representation and analysis
Enabling data sharing in contextual environments: policy representation and analysis
Internet of Things environments enable us to capture more and more data about the physical environment we live in and about ourselves. The data enable us to optimise resources, personalise services and offer unprecedented insights into our lives. However, to achieve these insights data need to be shared (and sometimes sold) between organisations imposing rights and obligations upon the sharing parties and in accordance with multiple layers of sometimes conflicting legislation at international, national and organisational levels. In this work, we show how such rules can be captured in a formal representation called "Data Sharing Agreements". We introduce the use of abductive reasoning and argumentation based techniques to work with context dependent rules, detect inconsistencies between them, and resolve the inconsistencies by assigning priorities to the rules. We show how through the use of argumentation based techniques use-cases taken from real life application are handled flexibly addressing trade-offs between confidentiality, privacy, availability and safety.
231–238
The Association for Computing Machinery
Karafili, Erisa
f5efa31c-22b8-443e-8107-e488bd28918e
Lupu, Emil
a7fda3ad-5b14-4199-b015-2316571edd7b
Karafili, Erisa
f5efa31c-22b8-443e-8107-e488bd28918e
Lupu, Emil
a7fda3ad-5b14-4199-b015-2316571edd7b

Karafili, Erisa and Lupu, Emil (2017) Enabling data sharing in contextual environments: policy representation and analysis. In SACMAT '17 Abstracts: Proceedings of the 22nd ACM on Symposium on Access Control Models and Technologies. The Association for Computing Machinery. 231–238 . (doi:10.1145/3078861.3078876).

Record type: Conference or Workshop Item (Paper)

Abstract

Internet of Things environments enable us to capture more and more data about the physical environment we live in and about ourselves. The data enable us to optimise resources, personalise services and offer unprecedented insights into our lives. However, to achieve these insights data need to be shared (and sometimes sold) between organisations imposing rights and obligations upon the sharing parties and in accordance with multiple layers of sometimes conflicting legislation at international, national and organisational levels. In this work, we show how such rules can be captured in a formal representation called "Data Sharing Agreements". We introduce the use of abductive reasoning and argumentation based techniques to work with context dependent rules, detect inconsistencies between them, and resolve the inconsistencies by assigning priorities to the rules. We show how through the use of argumentation based techniques use-cases taken from real life application are handled flexibly addressing trade-offs between confidentiality, privacy, availability and safety.

Full text not available from this repository.

More information

Published date: June 2017
Venue - Dates: 22nd ACM on Symposium on Access Control Models and Technologies, , Indianapolis, United States, 2017-06-21 - 2017-06-23

Identifiers

Local EPrints ID: 438911
URI: http://eprints.soton.ac.uk/id/eprint/438911
PURE UUID: ca6c097b-ad04-4fd7-87d8-4dd2f723dd8f

Catalogue record

Date deposited: 26 Mar 2020 17:31
Last modified: 14 Sep 2021 20:11

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