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

Financial Cryptography and Data Security: FC 2017 International Workshops, WAHC, BITCOIN, VOTING, WTSC, and TA, Sliema, Malta, April 7, 2017, Revised Selected Paper. Vol. 10323 Springer-Verlag, 2017. p. 75-90 (Lecture Notes in Computer Science).

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Published

Standard

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

Financial Cryptography and Data Security: FC 2017 International Workshops, WAHC, BITCOIN, VOTING, WTSC, and TA, Sliema, Malta, April 7, 2017, Revised Selected Paper. Vol. 10323 Springer-Verlag, 2017. p. 75-90 (Lecture Notes in Computer Science).

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Harvard

Alderman, J, Curtis, B, Farràs Ventura, O, Martin, K & Ribes-González, J 2017, Private Outsourced Kriging Interpolation. in Financial Cryptography and Data Security: FC 2017 International Workshops, WAHC, BITCOIN, VOTING, WTSC, and TA, Sliema, Malta, April 7, 2017, Revised Selected Paper. vol. 10323, Lecture Notes in Computer Science, Springer-Verlag, pp. 75-90, 5th Workshop on Encrypted Computing and Applied Homomorphic Cryptography, 7/04/17. https://doi.org/10.1007/978-3-319-70278-0_5

APA

Alderman, J., Curtis, B., Farràs Ventura, O., Martin, K., & Ribes-González, J. (2017). Private Outsourced Kriging Interpolation. In Financial Cryptography and Data Security: FC 2017 International Workshops, WAHC, BITCOIN, VOTING, WTSC, and TA, Sliema, Malta, April 7, 2017, Revised Selected Paper (Vol. 10323, pp. 75-90). (Lecture Notes in Computer Science). Springer-Verlag. https://doi.org/10.1007/978-3-319-70278-0_5

Vancouver

Alderman J, Curtis B, Farràs Ventura O, Martin K, Ribes-González J. Private Outsourced Kriging Interpolation. In Financial Cryptography and Data Security: FC 2017 International Workshops, WAHC, BITCOIN, VOTING, WTSC, and TA, Sliema, Malta, April 7, 2017, Revised Selected Paper. Vol. 10323. Springer-Verlag. 2017. p. 75-90. (Lecture Notes in Computer Science). https://doi.org/10.1007/978-3-319-70278-0_5

Author

Alderman, James ; Curtis, Benjamin ; Farràs Ventura, Oriol ; Martin, Keith ; Ribes-González, Jordi. / Private Outsourced Kriging Interpolation. Financial Cryptography and Data Security: FC 2017 International Workshops, WAHC, BITCOIN, VOTING, WTSC, and TA, Sliema, Malta, April 7, 2017, Revised Selected Paper. Vol. 10323 Springer-Verlag, 2017. pp. 75-90 (Lecture Notes in Computer Science).

BibTeX

@inproceedings{5846f7a6b5c54440868b37ee81e7f614,
title = "Private Outsourced Kriging Interpolation",
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. ",
author = "James Alderman and Benjamin Curtis and {Farr{\`a}s Ventura}, Oriol and Keith Martin and Jordi Ribes-Gonz{\'a}lez",
year = "2017",
month = apr,
day = "7",
doi = "10.1007/978-3-319-70278-0_5",
language = "English",
isbn = "978-3-319-70277-3",
volume = "10323",
series = "Lecture Notes in Computer Science",
publisher = "Springer-Verlag",
pages = "75--90",
booktitle = "Financial Cryptography and Data Security",
note = "5th Workshop on Encrypted Computing and Applied Homomorphic Cryptography, WAHC'17 ; Conference date: 07-04-2017 Through 07-04-2017",
url = "https://www.chi.uni-hannover.de/wahc17",

}

RIS

TY - GEN

T1 - Private Outsourced Kriging Interpolation

AU - Alderman, James

AU - Curtis, Benjamin

AU - Farràs Ventura, Oriol

AU - Martin, Keith

AU - Ribes-González, Jordi

PY - 2017/4/7

Y1 - 2017/4/7

N2 - 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.

AB - 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.

U2 - 10.1007/978-3-319-70278-0_5

DO - 10.1007/978-3-319-70278-0_5

M3 - Conference contribution

SN - 978-3-319-70277-3

VL - 10323

T3 - Lecture Notes in Computer Science

SP - 75

EP - 90

BT - Financial Cryptography and Data Security

PB - Springer-Verlag

T2 - 5th Workshop on Encrypted Computing and Applied Homomorphic Cryptography

Y2 - 7 April 2017 through 7 April 2017

ER -