DocumentCode :
2528078
Title :
Enabling context-aware and privacy-conscious user data sharing
Author :
Hull, Richard ; Kumar, Bharat ; Lieuwen, Daniel ; Patel-Schneider, Peter F. ; Sahuguet, Arnaud ; Varadarajan, Sriram ; Vyas, Avinash
Author_Institution :
Bell Labs., Lucent Technol., Murray Hill, NJ, USA
fYear :
2004
fDate :
2004
Firstpage :
187
Lastpage :
198
Abstract :
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.
Keywords :
electronic data interchange; mobile communication; mobile computing; ubiquitous computing; Bell Labs; Houdini framework; context-aware user data sharing; data integration; mobile computing; policy management infrastructure; preferences self-provisioning; privacy-conscious user data sharing; rules engine; ubiquitous computing; Appropriate technology; Computer network management; Data privacy; Filters; Internet telephony; Mobile communication; Mobile computing; Search engines; Telecommunications; Ubiquitous computing;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Mobile Data Management, 2004. Proceedings. 2004 IEEE International Conference on
Print_ISBN :
0-7695-2070-7
Type :
conf
DOI :
10.1109/MDM.2004.1263065
Filename :
1263065
Link To Document :
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