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有限泄漏的公用事业-隐私权权交易对编码器进行了限制
Naruki Shinohara1, Hideki Yagi1
1Department of Computer and Network Engineering, The University of Electro-Communications, 1-5-1 Chofugaoka, Chofu 182-8585, Tokyo, Japan.
Entropy (Basel, Switzerland)
|June 28, 2023
概括
保护物联网数据库中的数据隐私至关重要. 本研究扩展了先前的工作,分析了编码器和解码器的编码率,实用性和隐私,并建立了实用性-隐私权权衡的强有力的交换定理.
科学领域:
- 信息理论 信息理论
- 数据 隐私 数据 隐私 数据
- 数据库安全 数据库安全
背景情况:
- 越来越多地使用数据库,包括物联网 (IoT),凸显了强有力的数据隐私措施的必要性.
- 1983年山本的开创性工作为特定的数据库场景建立了编码速率,实用性和解码器隐私的理论限制.
- 在2022年,西野原和雅吉的最新进展为更广泛的分析提供了基础.
研究的目的:
- 将数据库中公用事业隐私权权衡的分析扩展到更一般的情况.
- 介绍和分析对编码器的隐私措施.
- 建立一个强大的反向定理,用于公用事业-隐私权的权衡.
主要方法:
- 考虑编码速率,实用性 (预期扭曲或过度扭曲概率),解码器隐私和编码器隐私的第一阶段速率分析.
- 为编码器开发和应用一种新的隐私措施.
- 在公用事业-隐私权权权衡的背景下建立强有力的反向定理的理论框架.
主要成果:
- 对于一般化数据库模型来说,推导出第一阶级的利率-效用-隐私权权权衡边界.
- 引入了一种用于量化编码器隐私的新指标.
- 建立了一个强大的反向定理,用于公用事业-隐私权权衡,当公用事业通过过度扭曲概率来衡量时.
结论:
- 这些发现提供了对数据隐私和数据库系统中实用性的基本限制的更全面的理解.
- 已建立的理论框架可能会为更先进的分析铺平道路,例如二级利率分析.
- 这项研究有助于在大数据和物联网时代保护敏感信息的持续努力.
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