Privacy Preserving Mapping Schemes Supporting Comparison

Tang, Qiang (2010) Privacy Preserving Mapping Schemes Supporting Comparison. In: ACM Cloud Computing Security Workshop, CCSW 2010, 9 oct 2010, Chicago, Illinois.

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Abstract:	To cater to the privacy requirements in cloud computing, we introduce a new primitive, namely Privacy Preserving Mapping (PPM) schemes supporting comparison. An PPM scheme enables a user to map data items into images in such a way that, with a set of images, any entity can determine the $<, =, >$ relationships among the corresponding data items. We propose three privacy notions, namely ideal privacy, level-1 privacy, and level-2 privacy, and three constructions satisfying these privacy notions respectively.
Item Type:	Conference or Workshop Item
Copyright:	© 2010 ACM
Faculty:	Electrical Engineering, Mathematics and Computer Science (EEMCS)
Research Group:	Distributed and Embedded Systems (DIES)
Link to this item:	http://purl.utwente.nl/publications/75364
Official URL:	http://dx.doi.org/10.1145/1866835.1866846
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