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SYSTEMS AND METHODS FOR PRIVACY-ASSURED SIMILARITY JOINS OVER ENCRYPTED DATASETS

机译:用于在加密数据集上确保隐私的相似性的系统和方法

摘要

Systems and methods which provide secure queries with respect to encrypted datasets are described. Embodiments provide privacy-assured similarity join techniques operable with large-scale encrypted datasets. A privacy-assured similarity join technique of embodiments enables a storage system to answer similarity join queries without learning the content of the query dataset and the target dataset. One or more secure query schemes may be implemented in accordance with a privacy-assured similarity join technique herein. For example, embodiments may utilize an individual similarity query scheme, a frequency hiding query scheme, and/or a result sharing query scheme. A particular secure query scheme of the foregoing secure query schemes may be utilized to address different considerations with respect to security, efficiency, and deployability with respect to various applications and scenarios with different requirements.
机译:描述了提供关于加密数据集的安全查询的系统和方法。实施例提供可与大规模加密数据集一起操作的确保隐私的相似性联接技术。实施例的确保隐私的相似性联接技术使得存储系统能够在不学习查询数据集和目标数据集的内容的情况下回答相似性联接查询。可以根据本文中的确保隐私的相似性加入技术来实现一种或多种安全查询方案。例如,实施例可以利用个体相似性查询方案,频率隐藏查询方案和/或结果共享查询方案。前述安全查询方案中的特定安全查询方案可以用于解决关于具有不同要求的各种应用和场景的关于安全性,效率和可部署性的不同考虑。

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