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Conference papers
Practical Privacy-Preserving Multiparty Linear Programming Based on Problem Transformation
Abstract : Cryptographic solutions to privacy-preserving multi-party linear programming are slow. This makes them unsuitable for many economically important applications, such as supply chain optimization, whose size exceeds their practically feasible input range. In this paper we present a privacy-preserving transformation that allows secure outsourcing of the linear program computation in an efficient manner. We evaluate security by quantifying the leakage about the input after the transformation and present implementation results. Using this transformation, we can mostly replace the costly cryptographic operations and securely solve problems several orders of magnitude larger.
Cited literature [23 references]
https://hal.archives-ouvertes.fr/hal-01338043
Contributor : Jannik Dreier <>
Submitted on : Monday, June 27, 2016 - 5:12:27 PM
Last modification on : Thursday, November 12, 2020 - 9:42:15 AM
Contributor : Jannik Dreier <>
Submitted on : Monday, June 27, 2016 - 5:12:27 PM
Last modification on : Thursday, November 12, 2020 - 9:42:15 AM
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passat2011.pdf
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