Secured data storage in the cloud using logical Pk-Anonymization with Map Reduce methods and key generation in cloud computing

The significant security assessment is rising because the vast amount of data can be renewed continuously in the cloud. Cloud information is clustered and refreshed productively using a progressive clustering procedure over the data. To verify the security of a user's connection to the cloud, t...

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Autores principales:	Sindhe Phani Kumar, R. Anandan, Fairouz Tchier, G. Rajchakit, Choonkil Park, Ferdous M. O. Tawfiq
Formato:	article
Lenguaje:	EN
Publicado:	Taylor & Francis Group 2021
Materias:	pk-anonymization cloud computing data security key generation map reduce secure data storage Science (General) Q1-390
Acceso en línea:	https://doaj.org/article/c7bf943df63e43139abe04126374e069
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spelling	oai:doaj.org-article:c7bf943df63e43139abe04126374e0692021-11-17T14:21:57ZSecured data storage in the cloud using logical Pk-Anonymization with Map Reduce methods and key generation in cloud computing1658-365510.1080/16583655.2021.2001938https://doaj.org/article/c7bf943df63e43139abe04126374e0692021-01-01T00:00:00Zhttp://dx.doi.org/10.1080/16583655.2021.2001938https://doaj.org/toc/1658-3655The significant security assessment is rising because the vast amount of data can be renewed continuously in the cloud. Cloud information is clustered and refreshed productively using a progressive clustering procedure over the data. To verify the security of a user's connection to the cloud, the development of information to the servers could be used. Thus, the trustworthiness of the information plays a vital role in determining the authority of the information. Map Reduce is used to deal with enormous volumes of information, and informational indexes are circulated on the cloud. A parallel information preparation structure is then received, allowing for the collection of current information that joins over time. Information anonymization methods are then used to achieve security and high information utility when an update occurs, resulting in less data loss and refresh time over time.Sindhe Phani KumarR. AnandanFairouz TchierG. RajchakitChoonkil ParkFerdous M. O. TawfiqTaylor & Francis Grouparticlepk-anonymizationcloud computingdata securitykey generationmap reducesecure data storageScience (General)Q1-390ENJournal of Taibah University for Science, Vol 15, Iss 1, Pp 746-756 (2021)
institution	DOAJ
collection	DOAJ
language	EN
topic	pk-anonymization cloud computing data security key generation map reduce secure data storage Science (General) Q1-390
spellingShingle	pk-anonymization cloud computing data security key generation map reduce secure data storage Science (General) Q1-390 Sindhe Phani Kumar R. Anandan Fairouz Tchier G. Rajchakit Choonkil Park Ferdous M. O. Tawfiq Secured data storage in the cloud using logical Pk-Anonymization with Map Reduce methods and key generation in cloud computing
description	The significant security assessment is rising because the vast amount of data can be renewed continuously in the cloud. Cloud information is clustered and refreshed productively using a progressive clustering procedure over the data. To verify the security of a user's connection to the cloud, the development of information to the servers could be used. Thus, the trustworthiness of the information plays a vital role in determining the authority of the information. Map Reduce is used to deal with enormous volumes of information, and informational indexes are circulated on the cloud. A parallel information preparation structure is then received, allowing for the collection of current information that joins over time. Information anonymization methods are then used to achieve security and high information utility when an update occurs, resulting in less data loss and refresh time over time.
format	article
author	Sindhe Phani Kumar R. Anandan Fairouz Tchier G. Rajchakit Choonkil Park Ferdous M. O. Tawfiq
author_facet	Sindhe Phani Kumar R. Anandan Fairouz Tchier G. Rajchakit Choonkil Park Ferdous M. O. Tawfiq
author_sort	Sindhe Phani Kumar
title	Secured data storage in the cloud using logical Pk-Anonymization with Map Reduce methods and key generation in cloud computing
title_short	Secured data storage in the cloud using logical Pk-Anonymization with Map Reduce methods and key generation in cloud computing
title_full	Secured data storage in the cloud using logical Pk-Anonymization with Map Reduce methods and key generation in cloud computing
title_fullStr	Secured data storage in the cloud using logical Pk-Anonymization with Map Reduce methods and key generation in cloud computing
title_full_unstemmed	Secured data storage in the cloud using logical Pk-Anonymization with Map Reduce methods and key generation in cloud computing
title_sort	secured data storage in the cloud using logical pk-anonymization with map reduce methods and key generation in cloud computing
publisher	Taylor & Francis Group
publishDate	2021
url	https://doaj.org/article/c7bf943df63e43139abe04126374e069
work_keys_str_mv	AT sindhephanikumar secureddatastorageinthecloudusinglogicalpkanonymizationwithmapreducemethodsandkeygenerationincloudcomputing AT ranandan secureddatastorageinthecloudusinglogicalpkanonymizationwithmapreducemethodsandkeygenerationincloudcomputing AT fairouztchier secureddatastorageinthecloudusinglogicalpkanonymizationwithmapreducemethodsandkeygenerationincloudcomputing AT grajchakit secureddatastorageinthecloudusinglogicalpkanonymizationwithmapreducemethodsandkeygenerationincloudcomputing AT choonkilpark secureddatastorageinthecloudusinglogicalpkanonymizationwithmapreducemethodsandkeygenerationincloudcomputing AT ferdousmotawfiq secureddatastorageinthecloudusinglogicalpkanonymizationwithmapreducemethodsandkeygenerationincloudcomputing
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Secured data storage in the cloud using logical Pk-Anonymization with Map Reduce methods and key generation in cloud computing

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