Jun 30, 2016 · Privacy-preserving k-NN should ensure that the querying client gets no information about the database D except the result of her query; and the ...
Oct 20, 2022 · A 'secure' k-nearest neighbor (k NN) classification scheme over encrypted cloud database which aimed to concurrently keep the privacy of the database.
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In this paper, we aim to efficiently perform privacy-preserving KNN classification over malicious participants in outsourced cloud environments.
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Abstract: We study the problem of privacy-preserving approximate kNN search in an outsourced environment — the client sends the encrypted data to an untrusted ...
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In this work, we focus on privacy-preserving k-nearest neighbour (k-NN) query, and provide the first sublinear solution (with preprocessing) with computational ...
In this work, we focus on privacy-preserving k-nearest neighbour k-NN query, and provide the first sublinear solution with preprocessing with computational ...
Mar 18, 2024 · To address these issues, in this paper, we propose a new practical and privacy-preserving k NN query scheme. Specifically, we first refine the ...
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ABSTRACT. The k-nearest neighbors (k-NN) algorithm is a popular and effective classification algorithm. Due to its large storage.
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Note that each data set consists of two-dimensional location vectors, and each data owner encrypts his data before outsourcing it. Assume there is a query owner ...
Apr 7, 2020 · In this paper, based on the existing problems, we design a non-interactive privacy-preserving k-NN query and classification scheme.
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