Article: Comparative evaluation of fully homomorphic encryption algorithms in cloud environment Journal: International Journal of Electronic Security and Digital Forensics (IJESDF) 2023 Vol.15 No.4 pp.333 - 347 Abstract: 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<SUP align="right"><SMALL>th</SMALL></SUP> 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. Inderscience Publishers - linking academia, business and industry through research

Title: Comparative evaluation of fully homomorphic encryption algorithms in cloud environment

Authors: Sonam Mittal; K.R. Ramkumar

Addresses: Department of Computer Science and Engineering, Chitkara Institute of Engineering and Technology, Chitkara University, Punjab, India ' Department of Computer Science and Engineering, Chitkara Institute of Engineering and Technology, Chitkara University, Punjab, India

Abstract: 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.

Keywords: cloud computing; lattice-based fully homomorphic encryption; integer-based fully homomorphic encryption; fully homomorphic encryption; FHE; learning with errors; LWE; ring learning with errors; RLWE; N^th degree truncated polynomial ring units; NTRU.

DOI: 10.1504/IJESDF.2023.131963

International Journal of Electronic Security and Digital Forensics, 2023 Vol.15 No.4, pp.333 - 347

Received: 06 Aug 2022
Accepted: 05 Oct 2022
Published online: 05 Jul 2023 *

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Title: Comparative evaluation of fully homomorphic encryption algorithms in cloud environment

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