Towards Privacy-Aware Smart Buildings: Capturing, Communicating, and Enforcing Privacy Policies and Preferences
| Autor: | Martin Degeling, William Melicher, Lujo Bauer, Primal Pappachan, Roberto Yus, Pardis Emami Naeini, Shikun Zhang, Anupam Das, Sruti Bhagavatula, Norman Sadeh, Nalini Venkatasubramanian, Alfred Kobsa, Sharad Mehrotra |
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| Rok vydání: | 2017 |
| Předmět: |
Information privacy
Data collection Privacy by Design business.industry Privacy software Computer science Privacy policy 05 social sciences Internet privacy 020207 software engineering 02 engineering and technology Computer security computer.software_genre Intelligent sensor 0202 electrical engineering electronic engineering information engineering 0501 psychology and cognitive sciences business Productivity computer 050107 human factors Building automation |
| Zdroj: | ICDCS Workshops |
| DOI: | 10.1109/icdcsw.2017.52 |
| Popis: | The Internet of Things (IoT) is changing the way we interact with our environment in domains as diverse as health, transportation, office buildings and our homes. In smart building environments, information captured about the building and its inhabitants will aid in development of services that improve productivity, comfort, social interactions, safety, energy savings and more. However, by collecting and sharing information about building's inhabitants and their activities, these services also open the door to privacy risks. In this paper, we introduce a framework where IoT Assistants capture and manage the privacy preferences of their users and communicate them to privacy-aware smart buildings, which enforce them when collecting user data or sharing it with building services. We outline elements necessary to support such interactions and also discuss important privacy policy attributes that need to be captured. This includes looking at attributes necessary to describe -- (1) the data collection and sharing practices associated with deployed sensors and services in smart buildings as well as (2) the privacy preferences to help users manage their privacy in such environments. |
| Databáze: | OpenAIRE |
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