%0 Conference Paper %1 iotbds_19_pssst %A Stach, Christoph %A Steimle, Frank %A Gritti, Clémentine %A Mitschang, Bernhard %B Proceedings of the 4ᵗʰ International Conference on Internet of Things, Big Data and Security %C Heraklion %D 2019 %E Ramachandran, Muthu %E Walters, Robert %E Wills, Gary %E Muñoz, Víctor Méndez %E Chang, Victor %I SciTePress %K Internet_of_Things access_control actuators privacy sensors smart_service_platform stream_processing %P 57–68 %R 10.5220/0007672900570068 %T PSSST! The Privacy System for Smart Service Platforms: An Enabler for Confidable Smart Environments %V 1 %X 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. %@ 978-989-758-369-8

@inproceedings{iotbds_19_pssst, 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.}, added-at = {2020-09-21T11:45:55.000+0200}, address = {Heraklion}, author = {Stach, Christoph and Steimle, Frank and Gritti, Clémentine and Mitschang, Bernhard}, biburl = {https://puma.ub.uni-stuttgart.de/bibtex/233dd079d62d4ccd18a44676bb048e7a7/christophstach}, booktitle = {Proceedings of the 4ᵗʰ International Conference on Internet of Things, Big Data and Security}, doi = {10.5220/0007672900570068}, editor = {Ramachandran, Muthu and Walters, Robert and Wills, Gary and Muñoz, Víctor Méndez and Chang, Victor}, interhash = {a79c190ed4890aaf72d3f92370621749}, intrahash = {33dd079d62d4ccd18a44676bb048e7a7}, isbn = {978-989-758-369-8}, keywords = {Internet_of_Things access_control actuators privacy sensors smart_service_platform stream_processing}, month = may, pages = {57–68}, publisher = {SciTePress}, series = {IoTBDS '19}, timestamp = {2020-09-21T09:45:55.000+0200}, title = {PSSST! The Privacy System for Smart Service Platforms: An Enabler for Confidable Smart Environments}, volume = 1, year = 2019 }