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Published Articles >> Table of Contents >> Abstract
2004 IEEE International Conference on Mobile Data Management (MDM'04)
p. 187
Enabling Context-Aware and Privacy-Conscious User Data Sharing
Richard Hull, Lucent Technologies
Bharat Kumar, Lucent Technologies
Daniel Lieuwen, Lucent Technologies
Peter F. Patel-Schneider, Lucent Technologies
Arnaud Sahuguet, Lucent Technologies
Sriram Varadarajan, Lucent Technologies
Avinash Vyas, Lucent Technologies
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DOI Bookmark: http://doi.ieeecomputersociety.org/10.1109/MDM.2004.1263065
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| Abstract |
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This paper provides detail on two key components of the Houdini framework under development at Bell Labs, that enable context-aware and privacy-conscious user data sharing appropriate for mobile and/or ubiquitous computing. The framework includes an approach for integrating data from diverse sources, for gathering user preferences for what data to share and when to share it, and a policy management infrastructure in the network for enforcing
those preferences. The current paper focuses on two components of this infrastructure that are essential for mobile and ubiquitous computing, namely the framework to support self-provisioning of preferences, and the performance of the underlying rules engine.
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Citation:
Richard Hull, Bharat Kumar, Daniel Lieuwen, Peter F. Patel-Schneider, Arnaud Sahuguet, Sriram Varadarajan, Avinash Vyas,
"Enabling Context-Aware and Privacy-Conscious User Data Sharing,"
mdm,
p. 187,
2004 IEEE International Conference on Mobile Data Management (MDM'04),
2004
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