Towards context adaptive privacy decisions in ubiquitous computing

Florian Schaub; Bastian Könings; M. Weber; Frank Kargl

doi:10.1109/PerComW.2012.6197521

Towards context adaptive privacy decisions in ubiquitous computing

Florian Schaub, Bastian Könings, M. Weber, Frank Kargl

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › Academic › peer-review

8 Citations (Scopus)

64 Downloads (Pure)

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
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	https://doi.org/10.1109/PerComW.2012.6197521
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
Publisher	IEEE Computer Society

Workshop

Workshop	IEEE International Conference on Pervasive Computing and Communications, PerCom 2012
Abbreviated title	PerCom
Country	Switzerland
City	Lugano
Period	19/03/12 → 23/03/12
Internet address	http://www.percom.org/Previous/ST2012/

Keywords

METIS-287894
Context
IR-80665
Ubiquitous
SCS-Cybersecurity
Adaptive
EWI-21973
EC Grant Agreement nr.: FP7/269994
Computing

Access to Document

10.1109/PerComW.2012.6197521

06197521
open

Cite this

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title = "Towards context adaptive privacy decisions in ubiquitous computing",

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.",

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Schaub, F, Könings, B, Weber, M & Kargl, F 2012, Towards context adaptive privacy decisions in ubiquitous computing. in IEEE International Conference on Pervasive Computing and Communications Workshops (PERCOM Workshops). IEEE Computer Society, USA, pp. 407-410, IEEE International Conference on Pervasive Computing and Communications, PerCom 2012, Lugano, Switzerland, 19/03/12. https://doi.org/10.1109/PerComW.2012.6197521

Towards context adaptive privacy decisions in ubiquitous computing. / Schaub, Florian; Könings, Bastian; Weber, M.; Kargl, Frank.

IEEE International Conference on Pervasive Computing and Communications Workshops (PERCOM Workshops). USA : IEEE Computer Society, 2012. p. 407-410.

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › Academic › peer-review

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AB - 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.

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