Privacy-preservation policies are guidelines formulated to protect data providers private data. Previous privacy-preservation methodologies have addressed privacy in which data are permanently stored in repositories and disconnected from changing data provider privacy preferences. This occurrence becomes evident as data moves to another data repository. Hence, the need for data providers to control and flexibly update their existing privacy preferences due to changing data usage continues to remain a problem. This paper proposes a blockchain-based methodology for preserving data providers private and sensitive data. The research proposes to tightly couple data providers private attribute data element to privacy preferences and data accessor data element into a privacy tuple. The implementation presents a framework of tightly-coupled relational database and blockchains. This delivers secure, tamper-resistant, and query-efficient platform for data management and query processing. The evaluation analysis from the implementation validates efficient query processing of privacy-aware queries on the privacy infrastructure.

翻译：隐私保护策略是为保护数据提供者隐私数据而制定的指导方针。现有的隐私保护方法主要针对永久存储于存储库且与数据提供者动态隐私偏好脱节的数据隐私问题。当数据迁移至其他存储库时，这一问题尤为显著。因此，数据提供者如何根据数据使用场景的变化，对其现有隐私偏好进行控制与灵活更新，仍是亟待解决的难题。本文提出一种基于区块链的技术方案，用于保护数据提供者的隐私及敏感数据。该研究建议将数据提供者的隐私属性数据元、隐私偏好及数据访问者数据元紧密耦合为隐私元组，并通过关系型数据库与区块链的紧耦合框架实现该方案。该框架构建了一个安全、防篡改且查询高效的数据管理与查询处理平台。实施后的评估分析验证了该隐私基础设施在处理隐私感知查询时的高效性。