Hanene Rahmouni Hanene4.Rahmouni@uwe.ac.uk
Associate Lecturer - CATE - CCT - UCCT0001
An ontology regulating privacy oriented access controls
Rahmouni Boussi, Hanene
Authors
Abstract
Access Control is one of the essential and traditional security
weapons of data protection. In open and complex environments such as the Internet or cloud computing, the decision to grant access to a resource must ensure a secure management with a specific attention to privacy and data protection regulations. In recent years, many access control models and languages were proposed. Despite increasing legislative pressure, few of these propositions take care of privacy requirements in their
specifications. In this paper we propose to enforce privacy compliance in access control policies. Based on a semantic modeling approach, specifically formal ontology, we will try to incorporate data protection legislation requirements in policies specification and implementation. This aims to abstract the complexity of legal requirements expression and to
facilitate their automation and enforcement at execution level. Indeed, at run time, the interoperability of diverse information and the reference to the text law are addressed in a novel manner.
Citation
Rahmouni Boussi, H. (2016). An ontology regulating privacy oriented access controls. In Risks and Security of Internet and Systems. Springer International Publishing Switzerland
Acceptance Date | Dec 9, 2015 |
---|---|
Publication Date | Mar 5, 2016 |
Deposit Date | Jan 14, 2019 |
Journal | Risks and Security of Internet and Systems |
Peer Reviewed | Peer Reviewed |
Book Title | Risks and Security of Internet and Systems |
ISBN | 9783319766867 |
Keywords | security, access control policies, privacy policies, legislation, semantic web, ontology |
Public URL | https://uwe-repository.worktribe.com/output/913438 |
Publisher URL | http://dx.doi.org/10.1007/978-3-319-76687-4 |
You might also like
An ontology-based compliance audit framework for medical data sharing across Europe
(2021)
Journal Article
Model-based prediction of oncotherapy risks and side effects in bladder cancer
(2021)
Journal Article
Sensitive data discovery in care pathways using Business Process Modelling and HL7-CDA
(2019)
Journal Article
A reverse-engineering methodology for medical enhancement processes
(2019)
Journal Article
Downloadable Citations
About UWE Bristol Research Repository
Administrator e-mail: repository@uwe.ac.uk
This application uses the following open-source libraries:
SheetJS Community Edition
Apache License Version 2.0 (http://www.apache.org/licenses/)
PDF.js
Apache License Version 2.0 (http://www.apache.org/licenses/)
Font Awesome
SIL OFL 1.1 (http://scripts.sil.org/OFL)
MIT License (http://opensource.org/licenses/mit-license.html)
CC BY 3.0 ( http://creativecommons.org/licenses/by/3.0/)
Powered by Worktribe © 2024
Advanced Search