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Authors: Christoph Stach 1 ; Sascha Alpers 2 ; Stefanie Betz 3 ; Frank Dürr 1 ; Andreas Fritsch 3 ; Kai Mindermann 4 ; Saravana Murthy Palanisamy 1 ; Gunther Schiefer 3 ; Manuela Wagner 5 ; Bernhard Mitschang 1 ; Andreas Oberweis 6 and Stefan Wagner 4

Affiliations: 1 IPVS, University of Stuttgart, Universitätsstraße 38, 70569 Stuttgart and Germany ; 2 FZI Forschungszentrum Informatik, Haid-und-Neu-Straße 10-14, 76131 Karlsruhe and Germany ; 3 AIFB, Karlsruhe Institute of Technology, Kaiserstraße 89, 76133 Karlsruhe and Germany ; 4 ISTE, University of Stuttgart, Universitätsstraße 38, 70569 Stuttgart and Germany ; 5 ZAR, Karlsruhe Institute of Technology, Vincenz-Prienitz-Straße 3, 76131 Karlsruhe and Germany ; 6 FZI Forschungszentrum Informatik, Haid-und-Neu-Straße 10-14, 76131 Karlsruhe, Germany, AIFB, Karlsruhe Institute of Technology, Kaiserstraße 89, 76133 Karlsruhe and Germany

ISBN: 978-989-758-319-3

Keyword(s): Privacy, IoT Apps, Smart Things, Stream Processing, Privacy Preferences Elicitation & Verification.

Related Ontology Subjects/Areas/Topics: Data and Application Security and Privacy ; Information and Systems Security ; Privacy ; Privacy Enhancing Technologies ; Security and Privacy for Big Data ; Security and Privacy in Pervasive/Ubiquitous Computing ; Security in Distributed Systems

Abstract: 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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Paper citation in several formats:
Stach, C.; Alpers, S.; Betz, S.; Dürr, F.; Fritsch, A.; Mindermann, K.; Murthy Palanisamy, S.; Schiefer, G.; Wagner, M.; Mitschang, B.; Oberweis, A. and Wagner, S. (2018). The AVARE PATRON - A Holistic Privacy Approach for the Internet of Things.In Proceedings of the 15th International Joint Conference on e-Business and Telecommunications - Volume 2 SECRYPT: SECRYPT, ISBN 978-989-758-319-3, pages 372-379. DOI: 10.5220/0006850305380545

@conference{secrypt18,
author={Christoph Stach. and Sascha Alpers. and Stefanie Betz. and Frank Dürr. and Andreas Fritsch. and Kai Mindermann. and Saravana Murthy Palanisamy. and Gunther Schiefer. and Manuela Wagner. and Bernhard Mitschang. and Andreas Oberweis. and Stefan Wagner.},
title={The AVARE PATRON - A Holistic Privacy Approach for the Internet of Things},
booktitle={Proceedings of the 15th International Joint Conference on e-Business and Telecommunications - Volume 2 SECRYPT: SECRYPT,},
year={2018},
pages={372-379},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0006850305380545},
isbn={978-989-758-319-3},
}

TY - CONF

JO - Proceedings of the 15th International Joint Conference on e-Business and Telecommunications - Volume 2 SECRYPT: SECRYPT,
TI - The AVARE PATRON - A Holistic Privacy Approach for the Internet of Things
SN - 978-989-758-319-3
AU - Stach, C.
AU - Alpers, S.
AU - Betz, S.
AU - Dürr, F.
AU - Fritsch, A.
AU - Mindermann, K.
AU - Murthy Palanisamy, S.
AU - Schiefer, G.
AU - Wagner, M.
AU - Mitschang, B.
AU - Oberweis, A.
AU - Wagner, S.
PY - 2018
SP - 372
EP - 379
DO - 10.5220/0006850305380545

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