Enabling Data Sharing in Contextual Environments: Policy Representation and Analysis

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Title: Enabling Data Sharing in Contextual Environments: Policy Representation and Analysis
Authors: Karafili, E
Lupu, E
Item Type: Conference 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.
Issue Date: 21-Jun-2017
Date of Acceptance: 7-Apr-2017
URI: http://hdl.handle.net/10044/1/47985
DOI: https://dx.doi.org/10.1145/3078861.3078876
ISBN: 978-1-4503-4702-0
Publisher: ACM
Start Page: 231
End Page: 238
Journal / Book Title: SACMAT '17 Abstracts
Copyright Statement: © 2017 ACM. This is the author's version of the work. It is posted here by permission of ACM for your personal use. Not for redistribution. The definitive version was published in SACMAT '17 Abstracts Proceedings of the 22nd ACM on Symposium on Access Control Models and Technologies (2017) http://doi.acm.org/10.1145/10.1145/3078861.3078876
Sponsor/Funder: Commission of the European Communities
Engineering & Physical Science Research Council (EPSRC)
Funder's Grant Number: FP7 - 610853
EP/L022729/1
Conference Name: ACM Symposium on Access Control Models and Technologies (SACMAT)
Keywords: Data Sharing
Data Access
Usage Control
Cloud
Policy Language
Abductive Reasoning
Argumentation Reasoning
Publication Status: Published
Start Date: 2017-06-21
Finish Date: 2017-06-23
Conference Place: Indianapolis, IN, USA
Appears in Collections:Faculty of Engineering
Computing



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