论文标题

基于量子的数据库查询方案,用于云环境中的隐私保护方案

A Quantum-based Database Query Scheme for Privacy Preservation in Cloud Environment

论文作者

Liu, Wenjie, Gao, Peipei, Liu, Zhihao, Chen, Hanwu, Zhang, Maojun

论文摘要

云计算是一种强大而流行的信息技术范式,可实现数据服务外包,并以最少的管理工作提供更高级别的服务。但是,当用户访问敏感云数据时,保护数据隐私仍然是一个关键挑战。隐私保护数据库查询允许用户从云数据库中检索数据项,而无需揭示查询数据项的信息,同时限制用户访问其他数据的能力。在这项研究中,为了实现隐私保护并降低通信复杂性,开发了基于量子的数据库查询方案,以保护云环境中的隐私保护方案。具体而言,数据库的所有数据项首先由保护服务器隐私的不同键加密,并且为了保证客户的隐私,服务器必须以遗忘的传输策略将所有这些加密的数据项传输到客户端。此外,将两个Oracle操作,修改后的Grover迭代和特殊的偏移加密机制合并在一起,以确保客户端可以正确查询所需的数据项。最后,进行绩效评估以验证我们提出的计划的正确性,隐私和效率。

Cloud computing is a powerful and popular information technology paradigm that enables data service outsourcing and provides higher-level services with minimal management effort. However, it is still a key challenge to protect data privacy when a user accesses the sensitive cloud data. Privacy-preserving database query allows the user to retrieve a data item from the cloud database without revealing the information of the queried data item, meanwhile limiting user's ability to access other ones. In this study, in order to achieve the privacy preservation and reduce the communication complexity, a quantum-based database query scheme for privacy preservation in cloud environment is developed. Specifically, all the data items of the database are firstly encrypted by different keys for protecting server's privacy, and in order to guarantee the clients' privacy, the server is required to transmit all these encrypted data items to the client with the oblivious transfer strategy. Besides, two oracle operations, a modified Grover iteration, and a special offset encryption mechanism are combined together to ensure that the client can correctly query the desirable data item. Finally, performance evaluation is conducted to validate the correctness, privacy, and efficiency of our proposed scheme.

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