Did you mean: Secure and Efficient kNN Queries.
May 4, 2017 · Our key contribution is to develop a secure k-NN computation protocol that can enable the computation k-NN queries in a distributed multi-party environment.
May 5, 2020 · In this article, we propose a secure and efficient distributed kNN classification algorithm (SEED-kNN) to prevent information and control flow exposure.
May 5, 2020 · We propose an efficient privacy-preserving query protocol to accomplish the k-nearest neighbor (k-NN) query processing on outsourced data. We ...
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To provide better security, we propose a secure kNN protocol that protects the confidentiality of the data, user's input query, and data access patterns. Also, ...
Sep 7, 2022 · ... The k-nearest neighbor (k-NN) algorithm is a simple, yet powerful, clustering technique for classification and regression problems. k-NN ...
... secure range query to protect the privacy of kNN query. The key is to develop an efficient kNN query algorithm based on the RASP encrypted data and queries.
When it comes to k-NN query, we need to maintain a bounded priority queue of capacity k to record the current estimation of k nearest neighbours instead of a ...
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Aug 30, 2020 · In this paper, we present a secure low communication overhead kNN classification protocol that is able to deal with high-dimensional features given in real ...
Mar 26, 2024 · We propose FedKNN, a system that supports secure federated kNN search queries with a wide range of similarity measurements.
To add security to the AkNN solution we need a secure data structure with efficient search functionality to store eLSH tags. Because standard SSE schemes leak.