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.
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Copyright:© 2010 ACM
Electrical Engineering, Mathematics and Computer Science (EEMCS)
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