Private Outsourced Kriging Interpolation. / Alderman, James; Curtis, Benjamin; Farràs Ventura, Oriol; Martin, Keith; Ribes-González, Jordi.

2017. Paper presented at 5th Workshop on Encrypted Computing and Applied Homomorphic Cryptography, .

Research output: Contribution to conferencePaper

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Abstract

Kriging is a spatial interpolation algorithm which provides the best unbiased linear prediction of an observed phenomena by taking a weighted average of samples within a neighbourhood. It is widely used in areas such as geo-statistics where, for example, it may be used to predict the quality of mineral deposits in a location based on previous sample measurements. Kriging has been identified as a good candidate process to be outsourced to a cloud service provider, though outsourcing presents an issue since measurements and predictions may be highly sensitive. We present a method for the private outsourcing of Kriging interpolation using a tailored modification of the Kriging algorithm in combination with homomorphic encryption, allowing crucial information relating to measurement values to be hidden from the cloud service provider.
Original languageEnglish
StatePublished - 7 Apr 2017
Event5th Workshop on Encrypted Computing and Applied Homomorphic Cryptography -

Workshop

Workshop5th Workshop on Encrypted Computing and Applied Homomorphic Cryptography
Abbreviated titleWAHC'17
Period7/04/177/04/17
Internet address
This open access research output is licenced under a Creative Commons Attribution-NonCommercial-NoDerivs 3.0 Unported License.

ID: 27776801