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Published Articles >> Table of Contents >> Abstract
The 8th IEEE International Conference on E-Commerce Technology and The 3rd IEEE International Conference on Enterprise Computing, E-Commerce, and E-Services (CEC/EEE'06)
p. 4
Modeling and Measuring Privacy Risks in QoS Web Services
Tao Yu, University of California, Irvine
Yue Zhang, University of California, Irvine
Kwei-Jay Lin, University of California, Irvine
Full Article Text:
 
DOI Bookmark: http://doi.ieeecomputersociety.org/10.1109/CEC-EEE.2006.62
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| Abstract |
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The privacy issue for QoSWeb services is considered. As
more Web services are constructed and deployed, many of
our personal needs may be served by more than one service
providers regardless of their platforms and implementation
technologies. Service selection is performed by comparing
the QoS attributes of all candidate services. Releasing private
data without due control may raise the risk of allowing
potential adversaries to collect, reveal or utilize one’s
data in undesirable ways. We propose a QoS model that
quantifies a user’s privacy risk in order to make the service
selection process manageable. The privacy risk is derived
using the percentage of the private data set to be released,
and user-defined context-oriented weights that quantify the
potential damage of privacy leaking in a specific context.
We have included privacy risk cost as one of the QoS parameters
by extending the end-to-end QoS composition algorithms
developed previously.
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 Additional Information
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Index Terms- Web Service, QoS, privacy, service selection, utility function
Citation:
Tao Yu, Yue Zhang, Kwei-Jay Lin,
"Modeling and Measuring Privacy Risks in QoS Web Services,"
cec-eee,
p. 4,
The 8th IEEE International Conference on E-Commerce Technology and The 3rd IEEE International Conference on Enterprise Computing, E-Commerce, and E-Services (CEC/EEE'06),
2006
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