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