Noise Management in Homomorphic Encryption Scheme: Analyzing of Algorithm

Homomorphic encryption is the Swiss army of cryptography. It allows to perform computations on encrypted data. this conjecture of processing on encrypted data was stated by [RAD78]. Until Gentry breakthrough in 2009, only partial solutions were offered. They deal with encrypted data with bounded fu...

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Autores principales:	Paulin Boale Bomolo, Eugene Mbuyi Mukendi, Simon Ntumba Badibagna
Formato:	article
Lenguaje:	EN
Publicado:	International Association of Online Engineering (IAOE) 2021
Materias:	Noise Encryption homomorphic Bootstrapping modulus switching noise management Computer engineering. Computer hardware TK7885-7895 Science Q
Acceso en línea:	https://doaj.org/article/a49ff583f46d4137a22248d8f8fcd400
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id	oai:doaj.org-article:a49ff583f46d4137a22248d8f8fcd400
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spelling	oai:doaj.org-article:a49ff583f46d4137a22248d8f8fcd4002021-12-03T08:22:06ZNoise Management in Homomorphic Encryption Scheme: Analyzing of Algorithm10.3991/ijes.v9i4.259932197-8581https://doaj.org/article/a49ff583f46d4137a22248d8f8fcd4002021-12-01T00:00:00Zhttps://online-journals.org/index.php/i-jes/article/view/25993https://doaj.org/toc/2197-8581 Homomorphic encryption is the Swiss army of cryptography. It allows to perform computations on encrypted data. this conjecture of processing on encrypted data was stated by [RAD78]. Until Gentry breakthrough in 2009, only partial solutions were offered. They deal with encrypted data with bounded functions in operations. Gentry raised the bound of number of operations by introducing a new method called the bootstrapping. This method allows to reduce the noise in the ciphertext and to perform more computing on it. Since Gentry's breakthrough, several improvements and several alternatives to the bootstrapping technique have been proposed to improve execution time and reduce resource consumption. This article studies the growth of noise and the noise management strategy in homomorphic encryption. It also presents the trend of hoping strategy from 2009 to 2016. Through the DGHV, it shows the management of noise on a one-bit encrypted message. Paulin Boale BomoloEugene Mbuyi MukendiSimon Ntumba BadibagnaInternational Association of Online Engineering (IAOE)articleNoiseEncryption homomorphicBootstrappingmodulus switchingnoise managementComputer engineering. Computer hardwareTK7885-7895ScienceQENInternational Journal of Recent Contributions from Engineering, Science & IT, Vol 9, Iss 4 (2021)
institution	DOAJ
collection	DOAJ
language	EN
topic	Noise Encryption homomorphic Bootstrapping modulus switching noise management Computer engineering. Computer hardware TK7885-7895 Science Q
spellingShingle	Noise Encryption homomorphic Bootstrapping modulus switching noise management Computer engineering. Computer hardware TK7885-7895 Science Q Paulin Boale Bomolo Eugene Mbuyi Mukendi Simon Ntumba Badibagna Noise Management in Homomorphic Encryption Scheme: Analyzing of Algorithm
description	Homomorphic encryption is the Swiss army of cryptography. It allows to perform computations on encrypted data. this conjecture of processing on encrypted data was stated by [RAD78]. Until Gentry breakthrough in 2009, only partial solutions were offered. They deal with encrypted data with bounded functions in operations. Gentry raised the bound of number of operations by introducing a new method called the bootstrapping. This method allows to reduce the noise in the ciphertext and to perform more computing on it. Since Gentry's breakthrough, several improvements and several alternatives to the bootstrapping technique have been proposed to improve execution time and reduce resource consumption. This article studies the growth of noise and the noise management strategy in homomorphic encryption. It also presents the trend of hoping strategy from 2009 to 2016. Through the DGHV, it shows the management of noise on a one-bit encrypted message.
format	article
author	Paulin Boale Bomolo Eugene Mbuyi Mukendi Simon Ntumba Badibagna
author_facet	Paulin Boale Bomolo Eugene Mbuyi Mukendi Simon Ntumba Badibagna
author_sort	Paulin Boale Bomolo
title	Noise Management in Homomorphic Encryption Scheme: Analyzing of Algorithm
title_short	Noise Management in Homomorphic Encryption Scheme: Analyzing of Algorithm
title_full	Noise Management in Homomorphic Encryption Scheme: Analyzing of Algorithm
title_fullStr	Noise Management in Homomorphic Encryption Scheme: Analyzing of Algorithm
title_full_unstemmed	Noise Management in Homomorphic Encryption Scheme: Analyzing of Algorithm
title_sort	noise management in homomorphic encryption scheme: analyzing of algorithm
publisher	International Association of Online Engineering (IAOE)
publishDate	2021
url	https://doaj.org/article/a49ff583f46d4137a22248d8f8fcd400
work_keys_str_mv	AT paulinboalebomolo noisemanagementinhomomorphicencryptionschemeanalyzingofalgorithm AT eugenembuyimukendi noisemanagementinhomomorphicencryptionschemeanalyzingofalgorithm AT simonntumbabadibagna noisemanagementinhomomorphicencryptionschemeanalyzingofalgorithm
_version_	1718373408682541056

Noise Management in Homomorphic Encryption Scheme: Analyzing of Algorithm

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