Jun 28, 2017 · Abstract: Similarity search on high-dimensional data has been intensively studied for data processing and analytics.
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Abstract—Similarity search on high-dimensional data has been intensively studied for data processing and analytics. Despite its.
Based on these two considerations, this paper proposes a MapReduce-based similarity joins with differential privacy technology (hereafter, referred to as PSJoin) ...
Abstract. Similarity search on high-dimensional data has been intensively studied for data processing and analytics. Despite its broad applicability, data ...
This paper investigates privacy-preserving similarity join queries, a pivotal primitive of similarity search that finds pairwise similar data points across ...
ABSTRACT: To search the similarity join over encrypted data,we proposed a new system. privacy-preserving similarity join queries, i.e., a pivotal primitive ...
Jun 20, 2017 · Similarity search on high-dimensional data has been intensively studied for data processing and analytics. Despite its broad applicability, ...
Bibliographic details on Privacy-Preserving Similarity Joins Over Encrypted Data.
Feb 22, 2020 · In this study, we propose a privacy-preserving similar document search system based on Simhash. Our scheme is open to the latest machine- ...
Despite its broad applicability, data security and privacy concerns along the trend of data outsourcing have not been fully addressed. In this paper, we ...