Authors:
Christoph Stach
1
;
Frank Steimle
1
;
Clémentine Gritti
2
and
Bernhard Mitschang
1
Affiliations:
1
Institute for Parallel and Distributed Systems, University of Stuttgart, Universitätsstraße 38, 70569 Stuttgart and Germany
;
2
Department of Information Security and Communication Technology, NTNU, Elektro B, Gløshaugen, Trondheim and Norway
Keyword(s):
Privacy, Access Control, Internet of Things, Smart Service Platform, Sensors, Actuators, Stream Processing.
Abstract:
The Internet of Things and its applications are becoming increasingly popular. Especially Smart Service Platforms like Alexa are in high demand. Such a platform retrieves data from sensors, processes them in a back-end, and controls actuators in accordance with the results. Thereby, all aspects of our everyday life can be managed. In this paper, we reveal the downsides of this technology by identifying its privacy threats based on a real-world application. Our studies show that current privacy systems do not tackle these issues adequately. Therefore, we introduce PSSST!, a user-friendly and comprehensive privacy system for Smart Service Platforms limiting the amount of disclosed private information while maximizing the quality of service at the same time.