Fully Homomorphic Encryption Scheme for Securing Cloud Data

One of the pioneer and important fields in the computer science area is cloud computing. The data within cloud computing are usually transformed to it from local storage; therefore, the security of this data is an important issue. To solve this data security issue, it is important that cloud service...

Full description

Bibliographic Details
Main Authors: Tara Al Attar, Mohammed Anwar MOHAMMED
Format: Article
Language:English
Published: University of Human Development 2023-10-01
Series:UHD Journal of Science and Technology
Subjects:
Online Access:https://journals.uhd.edu.iq/index.php/uhdjst/article/view/1196
_version_ 1797658784548519936
author Tara Al Attar
Mohammed Anwar MOHAMMED
author_facet Tara Al Attar
Mohammed Anwar MOHAMMED
author_sort Tara Al Attar
collection DOAJ
description One of the pioneer and important fields in the computer science area is cloud computing. The data within cloud computing are usually transformed to it from local storage; therefore, the security of this data is an important issue. To solve this data security issue, it is important that cloud service providers (CSPs) store encrypted versions of user data. Before transmitting data to the cloud provider, it was encrypted using traditional encryption schemes. Nevertheless, for these schemes, the private key must be provided to the server to be used for the decryption on the other side before any calculations, yielding a security risk and issue for the cloud data. Homomorphic encryption provides a capable solution to this issue since it enables calculations on encrypted data with no need to be decrypted and the private encryption key is not compromised. A new fully homomorphic encryption scheme to protect cloud data is proposed in this paper, it is called NAZUZ. The NAZUZ scheme is based on prime modular operations and encrypts messages by operating on each character without converting them to binary. NAZUZ security relies on the difficulty of factoring large integer numbers and introduces noise complexity to the plaintext through the number of CSP users.
first_indexed 2024-03-11T18:05:17Z
format Article
id doaj.art-8f5023a461404ac9a88e85acfddfa02a
institution Directory Open Access Journal
issn 2521-4209
2521-4217
language English
last_indexed 2024-03-11T18:05:17Z
publishDate 2023-10-01
publisher University of Human Development
record_format Article
series UHD Journal of Science and Technology
spelling doaj.art-8f5023a461404ac9a88e85acfddfa02a2023-10-17T08:36:55ZengUniversity of Human DevelopmentUHD Journal of Science and Technology2521-42092521-42172023-10-0172404910.21928/uhdjst.v7n2y2023.pp40-491327Fully Homomorphic Encryption Scheme for Securing Cloud DataTara Al Attar0Mohammed Anwar MOHAMMED1University of Sulaimani - College of Science - Computer DepartmentUniversity of Sulaimani, College of Science, Computer departementOne of the pioneer and important fields in the computer science area is cloud computing. The data within cloud computing are usually transformed to it from local storage; therefore, the security of this data is an important issue. To solve this data security issue, it is important that cloud service providers (CSPs) store encrypted versions of user data. Before transmitting data to the cloud provider, it was encrypted using traditional encryption schemes. Nevertheless, for these schemes, the private key must be provided to the server to be used for the decryption on the other side before any calculations, yielding a security risk and issue for the cloud data. Homomorphic encryption provides a capable solution to this issue since it enables calculations on encrypted data with no need to be decrypted and the private encryption key is not compromised. A new fully homomorphic encryption scheme to protect cloud data is proposed in this paper, it is called NAZUZ. The NAZUZ scheme is based on prime modular operations and encrypts messages by operating on each character without converting them to binary. NAZUZ security relies on the difficulty of factoring large integer numbers and introduces noise complexity to the plaintext through the number of CSP users.https://journals.uhd.edu.iq/index.php/uhdjst/article/view/1196cryptographycloud, data securitydata privacyinformation security
spellingShingle Tara Al Attar
Mohammed Anwar MOHAMMED
Fully Homomorphic Encryption Scheme for Securing Cloud Data
UHD Journal of Science and Technology
cryptography
cloud, data security
data privacy
information security
title Fully Homomorphic Encryption Scheme for Securing Cloud Data
title_full Fully Homomorphic Encryption Scheme for Securing Cloud Data
title_fullStr Fully Homomorphic Encryption Scheme for Securing Cloud Data
title_full_unstemmed Fully Homomorphic Encryption Scheme for Securing Cloud Data
title_short Fully Homomorphic Encryption Scheme for Securing Cloud Data
title_sort fully homomorphic encryption scheme for securing cloud data
topic cryptography
cloud, data security
data privacy
information security
url https://journals.uhd.edu.iq/index.php/uhdjst/article/view/1196
work_keys_str_mv AT taraalattar fullyhomomorphicencryptionschemeforsecuringclouddata
AT mohammedanwarmohammed fullyhomomorphicencryptionschemeforsecuringclouddata