Preserving Privacy in Environments with Location-Based Applications
IEEE Pervasive Computing
A Privacy Awareness System for Ubiquitous Computing Environments
UbiComp '02 Proceedings of the 4th international conference on Ubiquitous Computing
k-anonymity: a model for protecting privacy
International Journal of Uncertainty, Fuzziness and Knowledge-Based Systems
An architecture for privacy-sensitive ubiquitous computing
Proceedings of the 2nd international conference on Mobile systems, applications, and services
Protecting Users' Anonymity in Pervasive Computing Environments
PERCOM '08 Proceedings of the 2008 Sixth Annual IEEE International Conference on Pervasive Computing and Communications
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Protecting personal privacy is going to be a prime concern for the deployment of ubiquitous computing systems in the real world. That becomes serious especially when a user receives user centric services from a service provider by offering personal information, because the service can be of a higher quality if the user provides more personal information despite the increase of privacy violation risk. Therefore, this paper proposes a privacy protection method that realizes avoidance of unwanted information disclosure by controlling disclosable attributes according to the results from monitoring two elements: user background information of the provider and user community status. The monitoring is done before disclosing individual attributes corresponding to the privacy policy (i.e., the required anonymity level) by each user. The validity of the proposed methods was confirmed by a desk model.