Vis enkel innførsel

dc.contributor.authorHehnle, Philipp
dc.contributor.authorKeilbach, Pascal
dc.contributor.authorLee, Hyun-Jin
dc.contributor.authorLejn, Sabrina
dc.contributor.authorSteidinger, Daniel
dc.contributor.authorWeinbrenner, Marina
dc.contributor.authorLangweg, Hanno
dc.date.accessioned2018-05-02T14:37:55Z
dc.date.available2018-05-02T14:37:55Z
dc.date.created2018-02-17T11:29:21Z
dc.date.issued2017
dc.identifier.citationLecture Notes in Computer Science. 2017, 10489 LNCS 435-442.nb_NO
dc.identifier.issn0302-9743
dc.identifier.urihttp://hdl.handle.net/11250/2496847
dc.description.abstractWe present an approach to reduce the complexity of adjusting privacy preferences for multiple online social networks. To achieve this, we quantify the effect on privacy for choices that users make, and simplify configuration by introducing privacy configuration as a service. We present an algorithm that effectively measures privacy and adjusts privacy settings across social networks. The aim is to configure privacy with one click.nb_NO
dc.language.isoengnb_NO
dc.publisherSpringer Verlagnb_NO
dc.titleOne click privacy for online social networksnb_NO
dc.typeJournal articlenb_NO
dc.typePeer reviewednb_NO
dc.description.versionacceptedVersionnb_NO
dc.source.pagenumber435-442nb_NO
dc.source.volume10489 LNCSnb_NO
dc.source.journalLecture Notes in Computer Sciencenb_NO
dc.identifier.doi10.1007/978-3-319-66284-8_37
dc.identifier.cristin1566211
dc.description.localcodeThis is a post-peer-review, pre-copyedit version of an article published in [Lecture Notes in Computer Science] Locked until 27.9.2018 due to copyright restrictions. The final authenticated version is available online at: https://doi.org/10.1007/978-3-319-66284-8_37nb_NO
cristin.unitcode194,63,30,0
cristin.unitnameInstitutt for informasjonssikkerhet og kommunikasjonsteknologi
cristin.ispublishedtrue
cristin.fulltextpostprint
cristin.qualitycode1


Tilhørende fil(er)

Thumbnail

Denne innførselen finnes i følgende samling(er)

Vis enkel innførsel