Publication: Towards enforceable usage policies for industry 4.0
cris.customurl | 16544 | |
cris.virtual.department | Data Engineering | |
cris.virtual.department | #PLACEHOLDER_PARENT_METADATA_VALUE# | |
cris.virtual.departmentbrowse | Data Engineering | |
cris.virtual.departmentbrowse | Data Engineering | |
cris.virtual.departmentbrowse | Data Engineering | |
cris.virtualsource.department | 3a2553bc-4d23-4bae-a22f-5d92c868792c | |
cris.virtualsource.department | #PLACEHOLDER_PARENT_METADATA_VALUE# | |
dc.contributor.author | Bader, Sebastian R. | |
dc.contributor.author | Maleshkova, Maria | |
dc.date.issued | 2019-11-05 | |
dc.description.abstract | Controlling the usage of business-critical data is essential for every company. While the upcoming age of Industry 4.0 propagates a seamless data exchange between all participating devices, facilities and companies along the production chain, the required data control mechanisms are lacking behind. We claim that for an effective protection, both access and usage control enforcement is a must-have for organizing Industry 4.0 collaboration networks. Formalized and machine-readable policies are one fundamental building block to achieve the needed trust level for real data-driven collaborations. We explain the current challenges of specifying access and usage control policies and outline respective approaches relying on Semantic Web of Things practices. We analyze the requirements and implications of existing technologies and discuss their shortcomings. Based on our experiences from the specification of the International Data Spaces Usage Control Language, the necessary next steps towards automatically monitored and enforced policies are outlined and research needs formulated. Copyright © 2019 for this paper by its authors. | |
dc.description.version | VoR | |
dc.identifier.issn | 1613-0073 | |
dc.identifier.scopus | 2-s2.0-85074848822 | |
dc.identifier.uri | https://openhsu.ub.hsu-hh.de/handle/10.24405/16544 | |
dc.identifier.url | https://ceur-ws.org/Vol-2489/paper8.pdf | |
dc.language.iso | en | |
dc.publisher | RWTH | |
dc.relation.conference | Knowledge Graph Building and Large Scale RDF Analytics (KGB-LASCAR 2019) : Portorož, Slovenia, June 3, 2019 | |
dc.relation.journal | CEUR Workshop Proceedings | |
dc.relation.orgunit | University of Bonn | |
dc.rights.accessRights | metadata only access | |
dc.subject | Industry 4.0 | |
dc.subject | Semantic web of things | |
dc.subject | Usage control | |
dc.title | Towards enforceable usage policies for industry 4.0 | |
dc.type | Konferenzbeitrag | |
dcterms.bibliographicCitation.booktitle | Joint Proceedings of the 1st International Workshop on Knowledge Graph Building and 1st International Workshop on Large Scale RDF Analytics co-located with 16th Extended Semantic Web Conference (ESWC 2019) | |
dcterms.bibliographicCitation.originalpublisherplace | Aachen | |
dspace.entity.type | Publication | |
hsu.uniBibliography | Nein | |
oaire.citation.endPage | 84 | |
oaire.citation.startPage | 75 | |
oaire.citation.volume | 2489 |