Quotation Fernandez Garcia, Javier David, Kirrane, Sabrina, Polleres, Axel, Steyskal, Simon. 2017. Self-Enforcing Access Control for Encrypted RDF. In The Semantic Web: 14th International Conference, ESWC 2017, Hrsg. Blomqvist, Eva and Maynard, Diana and Gangemi, Aldo and Hoekstra, Rinke and Hitzler, Pascal and Hartig, Olaf, 607-622. Cham: Springer International Publishing.


RIS


BibTeX

Abstract

The amount of raw data exchanged via web protocols is steadily increasing. Although the Linked Data infrastructure could potentially be used to selectively share RDF data with different individuals or organisations, the primary focus remains on the unrestricted sharing of public data. In order to extend the Linked Data paradigm to cater for closed data, there is a need to augment the existing infrastructure with robust security mechanisms. At the most basic level both access control and encryption mechanisms are required. In this paper, we propose a flexible and dynamic mechanism for securely storing and efficiently querying RDF datasets. By employing an encryption strategy based on Functional Encryption (FE) in which controlled data access does not require a trusted mediator, but is instead enforced by the cryptographic approach itself, we allow for fine-grained access control over encrypted RDF data while at the same time reducing the administrative overhead associated with access control management.

Tags

Press 'enter' for creating the tag

Publication's profile

Status of publication Published
Affiliation WU
Type of publication Contribution to conference proceedings
Language English
Title Self-Enforcing Access Control for Encrypted RDF
Title of whole publication The Semantic Web: 14th International Conference, ESWC 2017
Editor Blomqvist, Eva and Maynard, Diana and Gangemi, Aldo and Hoekstra, Rinke and Hitzler, Pascal and Hartig, Olaf
Page from 607
Page to 622
Location Cham
Publisher Springer International Publishing
Year 2017
ISBN 978-3-319-58068-5
URL https://doi.org/10.1007/978-3-319-58068-5_37
Open Access Y

Associations

Projects
Querying Archives of Dynamic Linked Open Data
SPECIAL - Scalable Policy-awarE linked data arChitecture for prIvacy, trAnsparency and compLiance
People
Fernandez Garcia, Javier David (Details)
Kirrane, Sabrina (Details)
Polleres, Axel (Details)
Steyskal, Simon (Details)
Organization
Applied Information Technology (Details)
Research areas (Ă–STAT Classification 'Statistik Austria')
1100 Mathematics, information technology (Details)
1109 Information and data processing (Details)
1122 Artificial intelligence (Details)
5367 Management information systems (Details)
5937 Information systems (Details)
Google Scholar: Search