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Improving data sharing in data rich environments

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Title: Improving data sharing in data rich environments
Authors: Karafili, E
Lupu, E
Cullen, A
Williams, B
Arunkumar, S
Calo, S
Item Type: Conference Paper
Abstract: The increasing use of big data comes along with the problem of ensuring correct and secure data access. There is a need to maximise the data dissemination whilst controlling their access. Depending on the type of users different qualities and parts of data are shared. We introduce an alteration mechanism, more precisely a restriction one, based on a policy analysis language. The alteration reflects the level of trust and relations the users have, and are represented as policies inside the data sharing agreements. These agreements are attached to the data and are enforced every time the data are accessed, used or shared. We show the use of our alteration mechanism with a military use case, where different parties are involved during the missions, and they have different relations of trust and partnership.
Issue Date: 15-Jan-2018
Date of Acceptance: 10-Nov-2017
URI: http://hdl.handle.net/10044/1/54027
DOI: https://doi.org/10.1109/BigData.2017.8258270
ISBN: 9781538627167
Publisher: IEEE
Journal / Book Title: 2017 IEEE International Conference on Big Data (Big Data)
Copyright Statement: © 2018 The Authors.
Sponsor/Funder: Engineering & Physical Science Research Council (EPSRC)
IBM United Kingdom Ltd
Funder's Grant Number: EP/L022729/1
CODSE_P67563
Conference Name: 1st IEEE Big Data International Workshop on Policy-based Autonomic Data Governance, IEEE BigData
Keywords: Science & Technology
Technology
Computer Science, Artificial Intelligence
Computer Science, Information Systems
Computer Science
Big data
data sharing
data access
usage control
DSAs
drone systems
military scenario
Publication Status: Published
Start Date: 2017-12-11
Finish Date: 2017-12-14
Conference Place: Boston, MA, USA
Online Publication Date: 2018-01-15
Appears in Collections:Computing
Faculty of Engineering