信息通信技术与政策

信息通信技术与政策

信息通信技术与政策 ›› 2021, Vol. 47 ›› Issue (7): 82-86.doi: 10.12267/j.issn.2096-5931.2021.07.012

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阈值同态加密在隐私计算中的应用

A survey of threshold homomorphic encryption application in privacy preserving computing

柴迪   

  1. 深圳致星科技有限公司,深圳 518057
  • 出版日期:2021-07-15 发布日期:2021-08-01
  • 作者简介:
    柴迪:香港科技大学计算机在读博士生,深圳致星科技有限公司联邦学习架构师,研究方向为隐私保护机器学习、联邦学习等

CHAI Di   

  1. Clustar, Shenzhen 518057, China
  • Online:2021-07-15 Published:2021-08-01

摘要: 隐私计算作为一种安全的多方联合计算技术,在近些年吸引了大量的关注。同态加密技术是隐私计算技术中重要的一种,但现有的同态加密大部分为单密钥加密,即只有一个私钥,并且不同公钥加密的密文无法相互计算,这给同态加密在隐私计算中的应用带来了诸多不便和安全隐患。最近,一种阈值同态加密方案在学术界备受关注,该加密方案支持多个私钥,解决了目前同态加密算法应用中的问题。通过对阈值同态加密进行研究,展示其在隐私计算中的应用。

关键词: 隐私计算, 隐私计算应用, 同态加密, 阈值同态加密, 多密钥同态

Abstract: As a solution of secure data cooperation between multi-parties, privacy preserving computing is attracting much attention in recent years. Homomorphic Encryption (HE) is one of the most important technologies in privacy preserving computing. However, most HE algorithms only have one pair of secret key and public key, and the computations between ciphertexts encrypted by different public keys are not supported. Such only-one-secret-key character brings lots of trouble to the HE application in privacy preserving computation. Recently, a threshold HE solution attracts much attention, and it supports more than one secret key. This paper introduces the threshold HE method, then show its application in privacy preserving computation.

Key words: privacy preserving computing, application of privacy preserving computing, homomorphic encryption, threshold homomorphic encryption, multikey homomorphic encryption