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.
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.
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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 (Former researcher)
- Kirrane, Sabrina (Details)
- Polleres, Axel (Details)
- Steyskal, Simon (Former researcher)
- Organization
- Institute for Data, Process and Knowledge Management (AE Polleres) (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)