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Secure Multiparty Computation between Distrusted Networks Terminals

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Abstract

One of the most important problems facing any distributed application over a heterogeneous network is the protection of private sensitive information in local terminals. A subfield of cryptography called secure multiparty computation (SMC) is the study of such distributed computation protocols that allow distrusted parties to perform joint computation without disclosing private data. SMC is increasingly used in diverse fields from data mining to computer vision. This paper provides a tutorial on SMC for nonexperts in cryptography and surveys some of the latest advances in this exciting area including various schemes for reducing communication and computation complexity of SMC protocols, doubly homomorphic encryption and private information retrieval.

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Correspondence to S.-C. S. Cheung.

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Open Access This article is distributed under the terms of the Creative Commons Attribution 2.0 International License (https://creativecommons.org/licenses/by/2.0), which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.

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Keywords

  • Computer Vision
  • Information Retrieval
  • Private Information
  • Computation Complexity
  • Heterogeneous Network