Aug 1, 2019 · Our security analysis shows that the scheme protects outsourced data security and query privacy, and hides access patterns. The experiments on ...

In this work, we propose a privacy-preserving KNN classification scheme on cloud data in a twin-cloud model based on an additively homomorphic cryptosystem and ...

... In this paper, we propose a privacypreserving KNN classification (PPKC) algorithm with only one cloud server for smart grid, which is much more secure and ...

In this paper, we propose a privacy-preserving outsourced k-means clustering (PPOKC) algorithm on distributed data. Our system consists of multiple users and ...

Aug 3, 2024 · Toward Highly Secure Yet Efficient KNN Classification Scheme on Outsourced Cloud Data. Article. Aug 2019. Lin Liu · Jinhu Su ...

This paper designed an efficient and secure kNN classification protocol over encrypted data using vector HE, namely ESkNNC, which could encrypt data ...

We propose a new scheme to encrypt the outsourced dataset and query points, which can effectively support k-NN computation over encrypted data, and securely ...

Nov 17, 2023 · In this paper, we aim to efficiently perform privacy-preserving KNN classification over malicious participants in outsourced cloud environments.

In this paper, we propose a novel secure and efficient scheme for k-NN ... Enabling secure and efficient ranked keyword search over outsourced cloud data.

Privacy preserving k-nearest neighbor classification over encrypted database in outsourced cloud environments · A Privacy Preserving Cloud-Based K-NN Search ...