Composition and Generalization of Context Data for Privacy Preservation

P
PERCOM
2008
2008 Sixth Annual IEEE International Conference on Pervasive Computing and Communications
Abstract - Composition and Generalization of Context Data for Privacy Preservation

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2008 Sixth Annual IEEE International Conference on Pervasive Computing and Communications

March 17-March 21

ISBN: 978-0-7695-3113-7

	ASCII Text	x
	Linda Pareschi, Daniele Riboni, Alessandra Agostini, Claudio Bettini, "Composition and Generalization of Context Data for Privacy Preservation," Pervasive Computing and Communications, IEEE International Conference on, pp. 429-433, 2008 Sixth Annual IEEE International Conference on Pervasive Computing and Communications, 2008.

	BibTex	x
	@article{ 10.1109/PERCOM.2008.47, author = {Linda Pareschi and Daniele Riboni and Alessandra Agostini and Claudio Bettini}, title = {Composition and Generalization of Context Data for Privacy Preservation}, journal ={Pervasive Computing and Communications, IEEE International Conference on}, volume = {0}, year = {2008}, isbn = {978-0-7695-3113-7}, pages = {429-433}, doi = {http://doi.ieeecomputersociety.org/10.1109/PERCOM.2008.47}, publisher = {IEEE Computer Society}, address = {Los Alamitos, CA, USA}, }

	RefWorks Procite/RefMan/Endnote	x
	TY - CONF JO - Pervasive Computing and Communications, IEEE International Conference on TI - Composition and Generalization of Context Data for Privacy Preservation SN - 978-0-7695-3113-7 SP429 EP433 A1 - Linda Pareschi, A1 - Daniele Riboni, A1 - Alessandra Agostini, A1 - Claudio Bettini, PY - 2008 KW - null VL - 0 JA - Pervasive Computing and Communications, IEEE International Conference on ER -

DOI Bookmark: http://doi.ieeecomputersociety.org/10.1109/PERCOM.2008.47

This paper presents preliminary results on anonymization and obfuscation techniques to preserve users' privacy in context-aware service provisioning. The techniques are based on generalizing request parameters as well as the context data provided to the application. Local context semantic aggregation is used to improve the quality of service that can be achieved while preserving privacy. The paper also shows how the software architecture of the CARE middleware can be extended to implement the proposed techniques.

Citation:

Linda Pareschi, Daniele Riboni, Alessandra Agostini, Claudio Bettini, "Composition and Generalization of Context Data for Privacy Preservation," percom, pp.429-433, 2008 Sixth Annual IEEE International Conference on Pervasive Computing and Communications, 2008

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