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dc.contributor.authorMomen, Nurul
dc.contributor.editorLangweg, Hanno
dc.contributor.editorMeier, Michael
dc.contributor.editorWitt, Bernhard C.
dc.contributor.editorReinhardt, Delphine
dc.date.accessioned2018-03-22T12:40:42Z
dc.date.available2018-03-22T12:40:42Z
dc.date.issued2018
dc.identifier.isbn978-3-88579-675-6
dc.identifier.issn1617-5468
dc.identifier.urihttp://dl.gi.de/handle/20.500.12116/16291
dc.description.abstractSince Android apps receive whitecard access through permissions, users struggle to understand the actual magnitude of app access to their personal data. Due to unavailability of statistical or other tools that would provide an overview of data access or privilege use, users can hardly assess privacy risks or identify app misbehavior. This is a problem for data subjects. The presented PhD research project aims at creating a transparency-enhancing technology that helps users to assess the magnitude of data access of installed apps by monitoring the Android permission access control system. This article will present how apps exercise their permissions, based on a pilot study with an app monitoring tool. It then presents a prototypical implementation of a networked laboratory for crowdsourcing app behavior data. Finally, the article presents and discusses a model that will use the collected data to calculate and visualize risk signals based on individual risk preferences and measured app data access efforts.en
dc.language.isoen
dc.publisherGesellschaft für Informatik e.V.
dc.relation.ispartofSICHERHEIT 2018
dc.relation.ispartofseriesLecture Notes in Informatics (LNI) - Proceedings, Volume P-281
dc.subjectApp Behavior
dc.subjectPrivacy Preservation
dc.subjectTransparency
dc.titleTurning the Table Around: Monitoring App Behavioren
dc.typeText/Conference Paper
dc.pubPlaceBonn
mci.reference.pages279-284
mci.conference.sessiontitleDoktorandenforum
mci.conference.locationKonstanz, Germany
mci.conference.date24. April 2018
dc.identifier.doi10.18420/sicherheit2018_25


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