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Universally Verifiable Multiparty Computation from Threshold Homomorphic Cryptosystems

  • Berry Schoenmakers
  • Meilof Veeningen
Conference paper
Part of the Lecture Notes in Computer Science book series (LNCS, volume 9092)

Abstract

Multiparty computation can be used for privacy-friendly outsourcing of computations on private inputs of multiple parties. A computation is outsourced to several computation parties; if not too many are corrupted (e.g., no more than half), then they cannot determine the inputs or produce an incorrect output. However, in many cases, these guarantees are not enough: we need correctness even if all computation parties may be corrupted; and we need that correctness can be verified even by parties that did not participate in the computation. Protocols satisfying these additional properties are called “universally verifiable”. In this paper, we propose a new security model for universally verifiable multiparty computation, and we present a practical construction, based on a threshold homomorphic cryptosystem. We also develop a multiparty protocol for jointly producing non-interactive zero-knowledge proofs, which may be of independent interest.

Keywords

Random Oracle Random Oracle Model Computation Parti Honest Party Oracle Query 
These keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves.

Notes

Acknowledgements

The authors thank Sebastiaan de Hoogh, Thijs Laarhoven, and Niels de Vreede for useful discussions. This work was supported in part by the European Commission through the ICT program under contract INFSO-ICT-284833 (PUFFIN). The research leading to these results has received funding from the European Union Seventh Framework Programme (FP7/2007-2013) under grant agreement no 609611 (PRACTICE).

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Copyright information

© Springer International Publishing Switzerland 2015

Authors and Affiliations

  1. 1.Department of Mathematics and Computer ScienceTU EindhovenEindhovenThe Netherlands

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