Cloud Storage Protection Scheme Based on Fully Homomorphic Encryption

ARO-THE SCIENTIFIC JOURNAL OF KOYA UNIVERSITY

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Field Value
 
Title Cloud Storage Protection Scheme Based on Fully Homomorphic Encryption
 
Creator Mohammed, Mohammed A.
Abed, Fadhil S.
 
Subject Cloud Computing Security
Cryptography
Fully Homomorphic Encryption
Information Security.
 
Description Cloud computing allows enterprises and individuals to have a less physical infrastructure of software and hardware. Nevertheless, there are some concerns regarding privacy protection which may turn out to be a strong barrier. Traditional encryption schemes have been used to encrypt the data before sending them to the cloud. However, the private key has to be provided to the server before any calculations on the data. To solve this security problem, this paper proposes a fully homomorphic encryption scheme for securing cloud data at rest. The scheme is based on prime modular operation, its security depends on factoring multiple large prime numbers (p1, p2,...pn) up to n, which is formed from very large prime numbers up to hundreds of digits as this is an open problem in mathematics. In addition, the elements of the secret key are derived from a series of mathematical operations and the calculation of an Euler coefficient within the modular of integers. Furthermore, it adds the complexity of noise to the plaintext using the number of users of the Cloud Service Provider. Moreover, its randomness is evaluated by the National Institute of Standards and Technology statistical tests, and the results demonstrating that the best statistical performance was obtained with this algorithm.
 
Publisher Koya University
 
Date 2020-12-06
 
Type info:eu-repo/semantics/article
info:eu-repo/semantics/publishedVersion
Peer-reviewed article
text
 
Format application/pdf
 
Identifier http://aro.koyauniversity.org/index.php/aro/article/view/590
10.14500/aro.10590
 
Source ARO-THE SCIENTIFIC JOURNAL OF KOYA UNIVERSITY; Vol. 8 No. 2 (2020): Issue Fifteen; 40-47
2307-549X
2410-9355
 
Language eng
 
Relation http://aro.koyauniversity.org/index.php/aro/article/view/590/188
 
Rights Copyright (c) 2020 Mohammed Anwar Mohammed, Fadhil Salman Abed
https://creativecommons.org/licenses/by-nc-sa/4.0
 

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