Improving data sharing in data rich environments
File(s)PID5130891.pdf (490.32 KB)
Accepted version
Author(s)
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.
Date Issued
2018-01-15
Date Acceptance
2017-11-10
Citation
2017 IEEE International Conference on Big Data (Big Data), 2018
ISBN
9781538627167
Publisher
IEEE
Journal / Book Title
2017 IEEE International Conference on Big Data (Big Data)
Copyright Statement
© 2018 The Authors.
Sponsor
Engineering & Physical Science Research Council (EPSRC)
IBM United Kingdom Ltd
Grant Number
EP/L022729/1
CODSE_P67563
Source
1st IEEE Big Data International Workshop on Policy-based Autonomic Data Governance, IEEE BigData
Subjects
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
Coverage Spatial
Boston, MA, USA
Date Publish Online
2018-01-15