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
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.