Hybrid homomorphic encryption method for protecting the privacy of banking data in the cloud

Abstract

The time and cost saving for banks when implementing cloud computing strategies are staggering. However, it is important to consider the security and protection of data when it comes to the widespread adoption of cloud. Fully homomorphic encryption is currently still undergoing experimentations. One of its limitation is the time required to encrypt and decrypt the sensitive data, as the traditional encryption systems showed a level of resistance and considerable maturity that can be rehabilitated or hybridized for application in the field of sensitive data protection hosted in the Cloud. In this paper we will propose hybrid homomorphic system that will be applied to the banking data to perform operations on encrypted data without decrypting, based on the encrypting, the decryption and the operation treatment time on the ciphertext which were obtained by simulating an addition and multiplication homomorphic cryptosystem and comparing it with DGHV that is somewhat homomorphic; then we will choose our model which is most suitable for banking application.