Abstract
With the rapid development of cloud computation and big data, the data storage and outsource computation are delegated to the untrusted cloud, which has led to a series of challenging security and privacy threats. Fully homomorphic encryption can be used to protect the privacy of cloud data and solve the trust problem of third party. The key problem of achieving fully homomorphic encryption is how to reduce the increasing noise during the ciphertext evaluation. Bootstrapping procedure can refresh ciphertext with large error, such that the resulting ciphertext has potentially smaller error and allows being continuous homomorphic evaluation. In this paper, we investigated the bootstrapping procedure used to construct fully homomorphic encryption scheme. We proposed a new concept of block homomorphic equality test algorithm and gave an instance based on the FH-SIMD scheme. Furthermore, based on the block homomorphic equality test algorithm, we proposed a faster bootstrapping procedure with smaller bootstrapping keys. Both theory analysis and experiment simulation validate high performance of our bootstrapping algorithm.
Highlights
Developing cloud storage and computation platform allow user delegate data outsource to the cloud server
In this paper we investigate the homomorphic equality test algorithm in bootstrapping procedure and proposed the concept of block homomorphic equality test algorithm B Eq? and give an instance based on the FH-singleinstruction-multiple data (SIMD) scheme
We proposed a faster bootstrapping procedure based on the block homomorphic equality test algorithm
Summary
Developing cloud storage and computation platform allow user delegate data outsource to the cloud server. Cloud computing has the characteristics of data concentration, resource sharing, highly interconnecting, fully opening, etc. It breaks the information island of traditional IT field; it brings even more serious security problems. To protect the privacy of data and the confidential of business secret, it is necessary to encrypting the upload data. It is difficult to process ciphertext for traditional encryption algorithm, and this promoted the improvement and development of fully homomorphic encryption (FHE). The prominent advantage of the fully homomorphic encryption is that it can solve ciphertext evaluation problem
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