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Linked data for a privacy-aware smart grid

dc.contributor.authorWagner, Andreas
dc.contributor.authorSpeiser, Sebastian
dc.contributor.authorRaabe, Oliver
dc.contributor.authorHarth, Andreas
dc.contributor.editorFähnrich, Klaus-Peter
dc.contributor.editorFranczyk, Bogdan
dc.date.accessioned2019-01-11T10:12:51Z
dc.date.available2019-01-11T10:12:51Z
dc.date.issued2010
dc.description.abstractRecent developments around the Smart Grid promise more efficient power generation and distribution. In contrast to the current design of the electricity grid, the Smart Grid is heavily based on IT for managing communication flows. Given the large number of market participants, data exchanged should be marked up in a way that facilitates flexible modelling, extension and integration. In addition, since much of the data exchanged is highly sensitive – comprising e.g. consumption data – current organisational means for privacy enforcement are not sufficient. In this paper, we propose a novel framework, which addresses these privacy issues by means of a machine-interpretable representation of the user intent. More precisely, such machineinterpretable specifications enable an automated access control and enforcement of privacy rights on a technical level.en
dc.identifier.isbn978-3-88579-269-7
dc.identifier.pissn1617-5468
dc.identifier.urihttps://dl.gi.de/handle/20.500.12116/19244
dc.language.isoen
dc.publisherGesellschaft für Informatik e.V.
dc.relation.ispartofINFORMATIK 2010. Service Science – Neue Perspektiven für die Informatik. Band 1
dc.relation.ispartofseriesLecture Notes in Informatics (LNI) - Proceedings, Volume P-175
dc.titleLinked data for a privacy-aware smart griden
dc.typeText/Conference Paper
gi.citation.endPage454
gi.citation.publisherPlaceBonn
gi.citation.startPage449
gi.conference.date27.09.-1.10.2010
gi.conference.locationLeipzig
gi.conference.sessiontitleRegular Research Papers

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