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The AVARE PATRON - A Holistic Privacy Approach for the Internet of Things

Stach, Christoph; Alpers, Sascha; Betz, Stefanie; Dürr, Frank; Fritsch, Andreas; Mindermann, Kai; Murthy Palanisamy, Saravana; Schiefer, Gunther; Wagner, Manuela; Mitschang, Bernhard; Oberweis, Andreas; Wagner, Stefan

Abstract (englisch):
Applications for the Internet of Things are becoming increasingly popular. Due to the large amount of available context data, such applications can be used effectively in many domains. By interlinking these data and analyzing them, it is possible to gather a lot of knowledge about a user. Therefore, these applications pose a threat to privacy. In this paper, we illustrate this threat by looking at a real-world application scenario. Current state of the art focuses on privacy mechanisms either for Smart Things or for big data processing systems. However, our studies show that for a comprehensive privacy protection a holistic view on these applications is required. Therefore, we describe how to combine two promising privacy approaches from both categories, namely AVARE and PATRON. Evaluation results confirm the thereby achieved synergy effects.


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Originalveröffentlichung
DOI: 10.5220/0006850305380545
Dimensions
Zitationen: 1
Zugehörige Institution(en) am KIT Forschungszentrum Informatik, Karlsruhe (FZI)
Institut für Angewandte Informatik und Formale Beschreibungsverfahren (AIFB)
Institut für Informations- und Wirtschaftsrecht (IIWR)
Zentrum für Angewandte Rechtswissenschaft / Institut für Informations- und Wirtschaftsrecht (ZAR)
Publikationstyp Proceedingsbeitrag
Publikationsjahr 2018
Sprache Englisch
Identifikator ISBN: 978-9897583193
KITopen-ID: 1000090359
Erschienen in Proceedings of the 15th International Joint Conference on e-Business and Telecommunications
Veranstaltung 15th International Joint Conference on e-Business and Telecommunications (ICETE 2018), Porto, Portugal, 26.07.2018 – 28.07.2018
Verlag SciTePress
Seiten 538–545
Projektinformation AVARE (BW-STFG, IKT-01)
Schlagwörter Privacy, IoT Apps, Smart Things, Stream Processing, Privacy Preferences Elicitation & Verification
Nachgewiesen in Dimensions
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