Abstract
In ubiquitous systems control of privacy settings will be increasingly difficult due to the pervasive nature of sensing and communication capabilities. We identify challenges for privacy decisions in ubiquitous systems and propose a system for in situ privacy decision support. When context changes occur, the system adapts a user's privacy preferences to the new situation. As a consequence, recommendations can be offered to the user or sharing behavior can be automatically adjusted to help the user maintain a desired level of privacy. The system learns from user interaction and behavior to improve decision accuracy. In this paper, we outline the main components of our system and illustrate its operation with an ambient assisted living use case.
Original language | Undefined |
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Title of host publication | IEEE International Conference on Pervasive Computing and Communications Workshops (PERCOM Workshops) |
Place of Publication | USA |
Publisher | IEEE Computer Society |
Pages | 407-410 |
Number of pages | 4 |
ISBN (Print) | 978-1-4673-0905-9 |
DOIs | |
Publication status | Published - 19 Mar 2012 |
Event | IEEE International Conference on Pervasive Computing and Communications, PerCom 2012 - Lugano, Switzerland Duration: 19 Mar 2012 → 23 Mar 2012 http://www.percom.org/Previous/ST2012/ |
Publication series
Name | |
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Publisher | IEEE Computer Society |
Workshop
Workshop | IEEE International Conference on Pervasive Computing and Communications, PerCom 2012 |
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Abbreviated title | PerCom |
Country/Territory | Switzerland |
City | Lugano |
Period | 19/03/12 → 23/03/12 |
Internet address |
Keywords
- METIS-287894
- Context
- IR-80665
- Ubiquitous
- SCS-Cybersecurity
- Adaptive
- EWI-21973
- EC Grant Agreement nr.: FP7/269994
- Computing