Privacy preservation for personalised services in smart spaces

Oyomno, Were; Jäppinen, Pekka; Kerttula, Esa

doi:10.1109/bcfic-riga.2011.5733234

Cited by 3 publications

(2 citation statements)

References 15 publications

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“…So, the more an application is aware of the user"s context, the better it can adapt itself to assist him. Richer contextual and deeper personal information facilitates better automation and adaptation [2], [33]. Unfortunately, transparent soliciting, acquiring and handling of personalization constructs raise privacy concerns [33].…”

Section: Introductionmentioning

confidence: 99%

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Privacy preserving in ubiquitous computing: Classification & hierarchy

Shen

Wang

et al. 2011

COMSIS J

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In this paper, we adopt the classification of personal information and hierarchy of services to build a privacy system, in which one communicates with each other via pipes with different security levels. In each level, one has the corresponding rights to access each other. The requesters are not able to be infringed based on the personal information that service obtains from service providers. Privacy system can decrease the interaction, while in other circumstance the system strengthens and enhances the privacy preserving. Thus we strike a balance between two goals of Ubiquitous Computing: interaction and privacy preserving.

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Section: Introductionmentioning

confidence: 99%

“…Richer contextual and deeper personal information facilitates better automation and adaptation [2], [33]. Unfortunately, transparent soliciting, acquiring and handling of personalization constructs raise privacy concerns [33]. Thus, privacy in ubiquitous computing has been a contentious issue.…”

Section: Introductionmentioning

confidence: 99%