Abstract
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.
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Hamamoto, K., Tahara, Y., Ohsuga, A. (2012). Methods for Privacy Protection Considering Status of Service Provider and User Community. In: Laud, P. (eds) Information Security Technology for Applications. NordSec 2011. Lecture Notes in Computer Science, vol 7161. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-29615-4_8
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DOI: https://doi.org/10.1007/978-3-642-29615-4_8
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