保护隐私的数据库指纹 保护隐私的数据库指纹
Tianxi Ji1, Erman Ayday2, Emre Yilmaz3
1Texas Tech University.
NDSS symposium
|June 5, 2023
概括
本研究引入了用于关系数据库的新差异性私有 (DP) 指纹方法,确保数据隐私和对滥用的责任,而不牺牲数据实用性. 这种新的方法提供了强大的保护,即使对数据的重大改变.
科学领域:
- 数据库安全 数据库安全
- 信息 隐私 信息 隐私 信息
- 应用密码学 应用密码学
背景情况:
- 分享关系数据库需要平衡数据实用性与隐私和责任保证.
- 现有的同时隐私和责任的方法往往会降低数据库的实用性.
- 隐私 (单个噪音添加) 和责任 (每个副本的独特噪音) 的对等目标构成了挑战.
研究的目的:
- 为关系数据库提出一个新的入门级差分私有 (DP) 指纹机制.
- 在没有显著的公用事业退化的情况下,实现同时的隐私和责任保证.
- 通过利用指纹随机化提供可证明的隐私保证.
主要方法:
- 设计了一种比特级随机响应方案,用于数据库条目上的差异隐私.
- 开发了一个基于隐私计划的e-入门级DP指纹机制.
- 使用稀疏矢量技术来管理多个共享的累积隐私损失.
- 理论上分析了使用闭式表达式的隐私,指纹强度和实用性.
主要成果:
- 拟议的机制实现了同时的隐私和责任保证,并使功用损失最小.
- 证明了强大的指纹强度,抵御超过50%的输入修改.
- 与基线方法相比,实现了更高的依赖应用程序的数据库实用性.
- 提供了连接隐私,稳健性和实用性的理论分析.
结论:
- 新的DP指纹机制有效地平衡了关系型数据库共享中的隐私,责任和实用性.
- 该方法为安全的数据库分布提供了一个强大的解决方案.
- 未来的工作可以探索该技术的进一步优化和应用.
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