基于差分隐私保护技术的多方求和查询方法

何贤芒

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

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基于差分隐私保护技术的多方求和查询方法

专栏：隐私保护新技术探索 | 更新时间：2024-06-03

- 基于差分隐私保护技术的多方求和查询方法
- Multi-party summation query method based on differential privacy
- 网络与信息安全学报 2020年6卷第3期页码：14-18
- 作者机构：
- 作者简介：
  
  [ "何贤芒（1981- ），男，浙江三门人，东莞理工学院副教授，主要研究方向为数据安全与隐私保护" ]
- 基金信息：
  
  国家自然科学基金;The National Natural Science Foundation of China(61672303);广东省普通高校特色创新项目;Characteristic Innovation Projects of Universities in Guangdong Province,China(2018KTSCX221)
- DOI：10.11959/j.issn.2096-109x.2020032
  中图分类号： TP301
- 网络首发：2020-06，
  
  纸质出版：2020-06-15
- 稿件说明：
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何贤芒. 基于差分隐私保护技术的多方求和查询方法[J]. 网络与信息安全学报, 2020,6(3):14-18.

Xianmang HE. Multi-party summation query method based on differential privacy[J]. Chinese Journal of Network and Information Security, 2020, 6(3): 14-18.
何贤芒. 基于差分隐私保护技术的多方求和查询方法[J]. 网络与信息安全学报, 2020,6(3):14-18. DOI： 10.11959/j.issn.2096-109x.2020032.

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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Keywords

references

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