Keyword Semantic Extended Top-k Ciphertext Retrieval Scheme Over Hybrid Government Cloud Environment

Privacy protection is a key problem that must be solved when building government cloud system to realize data storage and sharing. In order to meet the privacy protection requirements of data security storage and document security sharing between data publishers and authorized data access users over...

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Autores principales:	Li Yong, Liu Hefei, Shen Xiujuan, Yuan Bin, Wang Kun
Formato:	article
Lenguaje:	EN
Publicado:	IEEE 2021
Materias:	Hybrid government cloud semantic extension correlation score ciphertext retrieval privacy protection Electrical engineering. Electronics. Nuclear engineering TK1-9971
Acceso en línea:	https://doaj.org/article/3982247d2d1946c38167d8d5e1cb42a9
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spelling	oai:doaj.org-article:3982247d2d1946c38167d8d5e1cb42a92021-11-26T00:00:45ZKeyword Semantic Extended Top-k Ciphertext Retrieval Scheme Over Hybrid Government Cloud Environment2169-353610.1109/ACCESS.2021.3128933https://doaj.org/article/3982247d2d1946c38167d8d5e1cb42a92021-01-01T00:00:00Zhttps://ieeexplore.ieee.org/document/9618917/https://doaj.org/toc/2169-3536Privacy protection is a key problem that must be solved when building government cloud system to realize data storage and sharing. In order to meet the privacy protection requirements of data security storage and document security sharing between data publishers and authorized data access users over the government cloud platform, this paper proposes a keyword semantic extended Top-k ciphertext retrieval scheme over hybrid government cloud environment. Firstly, the scheme uses the hybrid cloud mode to build the government cloud platform to realize the storage and sharing of government documents. Then, the key technologies such as mechanical segmentation method, term frequency-inverse document frequency statistics method, keyword semantic expansion method, homomorphic matrix encryption method and vector space model are used to retrieve the ciphertext documents in a completely confidential state. According to the correlation score calculated by ciphertext retrieval, the Top-k ciphertext target documents with the highest correlation score are returned. And then the scheme decrypts and restores to obtain the Top-k plaintext target documents. The analysis of security and experimental test results shows that this scheme can not only meet the data storage and sharing requirements over government cloud environment, but also prevent the privacy leakage risk of data over government cloud. It is an effective solution to promote the construction and development of government cloud.Li YongLiu HefeiShen XiujuanYuan BinWang KunIEEEarticleHybrid government cloudsemantic extensioncorrelation scoreciphertext retrievalprivacy protectionElectrical engineering. Electronics. Nuclear engineeringTK1-9971ENIEEE Access, Vol 9, Pp 155249-155259 (2021)
institution	DOAJ
collection	DOAJ
language	EN
topic	Hybrid government cloud semantic extension correlation score ciphertext retrieval privacy protection Electrical engineering. Electronics. Nuclear engineering TK1-9971
spellingShingle	Hybrid government cloud semantic extension correlation score ciphertext retrieval privacy protection Electrical engineering. Electronics. Nuclear engineering TK1-9971 Li Yong Liu Hefei Shen Xiujuan Yuan Bin Wang Kun Keyword Semantic Extended Top-k Ciphertext Retrieval Scheme Over Hybrid Government Cloud Environment
description	Privacy protection is a key problem that must be solved when building government cloud system to realize data storage and sharing. In order to meet the privacy protection requirements of data security storage and document security sharing between data publishers and authorized data access users over the government cloud platform, this paper proposes a keyword semantic extended Top-k ciphertext retrieval scheme over hybrid government cloud environment. Firstly, the scheme uses the hybrid cloud mode to build the government cloud platform to realize the storage and sharing of government documents. Then, the key technologies such as mechanical segmentation method, term frequency-inverse document frequency statistics method, keyword semantic expansion method, homomorphic matrix encryption method and vector space model are used to retrieve the ciphertext documents in a completely confidential state. According to the correlation score calculated by ciphertext retrieval, the Top-k ciphertext target documents with the highest correlation score are returned. And then the scheme decrypts and restores to obtain the Top-k plaintext target documents. The analysis of security and experimental test results shows that this scheme can not only meet the data storage and sharing requirements over government cloud environment, but also prevent the privacy leakage risk of data over government cloud. It is an effective solution to promote the construction and development of government cloud.
format	article
author	Li Yong Liu Hefei Shen Xiujuan Yuan Bin Wang Kun
author_facet	Li Yong Liu Hefei Shen Xiujuan Yuan Bin Wang Kun
author_sort	Li Yong
title	Keyword Semantic Extended Top-k Ciphertext Retrieval Scheme Over Hybrid Government Cloud Environment
title_short	Keyword Semantic Extended Top-k Ciphertext Retrieval Scheme Over Hybrid Government Cloud Environment
title_full	Keyword Semantic Extended Top-k Ciphertext Retrieval Scheme Over Hybrid Government Cloud Environment
title_fullStr	Keyword Semantic Extended Top-k Ciphertext Retrieval Scheme Over Hybrid Government Cloud Environment
title_full_unstemmed	Keyword Semantic Extended Top-k Ciphertext Retrieval Scheme Over Hybrid Government Cloud Environment
title_sort	keyword semantic extended top-k ciphertext retrieval scheme over hybrid government cloud environment
publisher	IEEE
publishDate	2021
url	https://doaj.org/article/3982247d2d1946c38167d8d5e1cb42a9
work_keys_str_mv	AT liyong keywordsemanticextendedtopkciphertextretrievalschemeoverhybridgovernmentcloudenvironment AT liuhefei keywordsemanticextendedtopkciphertextretrievalschemeoverhybridgovernmentcloudenvironment AT shenxiujuan keywordsemanticextendedtopkciphertextretrievalschemeoverhybridgovernmentcloudenvironment AT yuanbin keywordsemanticextendedtopkciphertextretrievalschemeoverhybridgovernmentcloudenvironment AT wangkun keywordsemanticextendedtopkciphertextretrievalschemeoverhybridgovernmentcloudenvironment
_version_	1718409961898246144

Keyword Semantic Extended Top-k Ciphertext Retrieval Scheme Over Hybrid Government Cloud Environment

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