Dec 22, 2015 · In this paper, we propose a new efficient privacy-preserving outsourced computation framework over public data, called EPOC.
EPOC allows a user to outsource the computation of a function over multi-dimensional public data to the cloud while protecting the privacy of the function and ...
EPOC allows a user to outsource the computation of a function over multi-dimensional public data to the cloud while protecting the privacy of the function and ...
Abstract—In this paper, we propose a new efficient privacy-preserving outsourced computation framework over public data, called.
Oct 22, 2024 · In this paper, we propose a toolkit for efficient and privacy-preserving outsourced calculation under multiple encrypted keys, ...
Detailed security analysis shows that the proposed EPOC achieves the goal of outsourcing computation of a private function over public data without privacy ...
EPOC allows a user to outsource the computation of a function over multi-dimensional public data to the cloud while protecting the privacy of the function 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 ...
EPOC allows a user to outsource the computation of a function over multi-dimensional public data to the cloud while protecting the privacy of the function and ...
The framework is designed to allow different data providers to securely outsource their data with their own public key, and for a cloud server to process the ...