Multi-party summation query method based on differential privacy

Xianmang HE

doi:10.11959/j.issn.2096-109x.2020032

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Multi-party summation query method based on differential privacy

Special Column: New Technology Exploration on Privacy Protection | 更新时间：2024-06-03

- Multi-party summation query method based on differential privacy
- Chinese Journal of Network and Information Security Vol. 6, Issue 3, Pages: 14-18(2020)
- 作者机构：
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- DOI：10.11959/j.issn.2096-109x.2020032
  CLC： TP301
- Online First：2020-06，
  
  Published：15 June 2020
- 稿件说明：
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Xianmang HE. Multi-party summation query method based on differential privacy[J]. Chinese Journal of Network and Information Security, 2020, 6(3): 14-18.
DOI：

Xianmang HE. Multi-party summation query method based on differential privacy[J]. Chinese Journal of Network and Information Security, 2020, 6(3): 14-18. DOI： 10.11959/j.issn.2096-109x.2020032.

摘要

差分隐私保护技术因其不需要攻击者先验知识的假设，而被认为是一种非常可靠的保护机制。然而，差分隐私保护技术很少在多方环境下使用。鉴于此，将差分隐私保护技术用于多方环境下数据求和查询问题，详细讨论了如何通过加入噪声的方法来实现数据的保护，并证明该方法安全性。

Abstract

Differential privacy is considered to be a very reliable protection mechanism because it does not require the a prior knowledge for the attacker.However

differential privacy is rarely used in a multi-party environment.In view of this

the differential privacy is applied to the data summation query in multi-party environment.This method was described in detail and proved the security of the method.

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references

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