Comparative evaluation of fully homomorphic encryption algorithms in cloud environment

Cloud computing is an essential component of the service delivery environment in the domain of service computing. It assures a cloud service ecosystem to permit different service providers for participating and provisioning their services for consumers. In the cloud environments, the major component is offering security to the end users, which is ensured with the homomorphic encryption primitives. These approaches focus on minimising the computational burden in terms of clear computation. This paper aims to implement a comparative analysis of privacy preservation in cloud computing using fully homomorphic encryption (FHE) algorithms. A set of algorithms like lattice-based, integer-based, learning with errors (LWE), ring learning with errors (RLWE), and N-th degree truncated polynomial ring units (NTRU) are used for the comparison to make a concluding point regarding those performances. The experimental evaluation demonstrates the efficiency of the diverse frameworks, in terms of both security performance and accuracy, for building a secure analytics cloud-enabled application.