A Novel Blockchain and Bi-Linear Polynomial-Based QCP-ABE Framework for Privacy and Security over the Complex Cloud Data

As a result of the limited resources available in IoT local devices, the large scale cloud consumer’s data that are produced by IoT related machines are contracted out to the cloud. Cloud computing is unreliable, using it can compromise user privacy, and data may be leaked. Because cloud-data and gr...

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Autores principales:	Kranthi Kumar Singamaneni, Kadiyala Ramana, Gaurav Dhiman, Saurabh Singh, Byungun Yoon
Formato:	article
Lenguaje:	EN
Publicado:	MDPI AG 2021
Materias:	cloud platform ciphertext policy-based attribute-based encryption blockchain hashing information security non-polynomial chaotic mapping Chemical technology TP1-1185
Acceso en línea:	https://doaj.org/article/6fab9b13975a4892a016c6c1c7b0c897
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id	oai:doaj.org-article:6fab9b13975a4892a016c6c1c7b0c897
record_format	dspace
spelling	oai:doaj.org-article:6fab9b13975a4892a016c6c1c7b0c8972021-11-11T19:15:10ZA Novel Blockchain and Bi-Linear Polynomial-Based QCP-ABE Framework for Privacy and Security over the Complex Cloud Data10.3390/s212173001424-8220https://doaj.org/article/6fab9b13975a4892a016c6c1c7b0c8972021-11-01T00:00:00Zhttps://www.mdpi.com/1424-8220/21/21/7300https://doaj.org/toc/1424-8220As a result of the limited resources available in IoT local devices, the large scale cloud consumer’s data that are produced by IoT related machines are contracted out to the cloud. Cloud computing is unreliable, using it can compromise user privacy, and data may be leaked. Because cloud-data and grid infrastructure are both growing exponentially, there is an urgent need to explore computational sources and cloud large-data protection. Numerous cloud service categories are assimilated into numerous fields, such as defense systems and pharmaceutical databases, to compute information space and allocation of resources. Attribute Based Encryption (ABE) is a sophisticated approach which can permit employees to specify a higher level of security for data stored in cloud storage facilities. Numerous obsolete ABE techniques are practical when applied to small data sets to generate cryptograms with restricted computational properties; their properties are used to generate the key, encrypt it, and decrypt it. To address the current concerns, a dynamic non-linear polynomial chaotic quantum hash technique on top of secure block chain model can be used for enhancing cloud data security while maintaining user privacy. In the proposed method, customer attributes are guaranteed by using a dynamic non- polynomial chaotic map function for the key initialization, encryption, and decryption. In the proposed model, both organized and unorganized massive clinical data are considered to be inputs for reliable corroboration and encoding. Compared to existing models, the real-time simulation results demonstrate that the stated standard is more precise than 90% in terms of bit change and more precise than 95% in terms of dynamic key generation, encipherment, and decipherment time.Kranthi Kumar SingamaneniKadiyala RamanaGaurav DhimanSaurabh SinghByungun YoonMDPI AGarticlecloud platformciphertext policy-based attribute-based encryptionblockchainhashinginformation securitynon-polynomial chaotic mappingChemical technologyTP1-1185ENSensors, Vol 21, Iss 7300, p 7300 (2021)
institution	DOAJ
collection	DOAJ
language	EN
topic	cloud platform ciphertext policy-based attribute-based encryption blockchain hashing information security non-polynomial chaotic mapping Chemical technology TP1-1185
spellingShingle	cloud platform ciphertext policy-based attribute-based encryption blockchain hashing information security non-polynomial chaotic mapping Chemical technology TP1-1185 Kranthi Kumar Singamaneni Kadiyala Ramana Gaurav Dhiman Saurabh Singh Byungun Yoon A Novel Blockchain and Bi-Linear Polynomial-Based QCP-ABE Framework for Privacy and Security over the Complex Cloud Data
description	As a result of the limited resources available in IoT local devices, the large scale cloud consumer’s data that are produced by IoT related machines are contracted out to the cloud. Cloud computing is unreliable, using it can compromise user privacy, and data may be leaked. Because cloud-data and grid infrastructure are both growing exponentially, there is an urgent need to explore computational sources and cloud large-data protection. Numerous cloud service categories are assimilated into numerous fields, such as defense systems and pharmaceutical databases, to compute information space and allocation of resources. Attribute Based Encryption (ABE) is a sophisticated approach which can permit employees to specify a higher level of security for data stored in cloud storage facilities. Numerous obsolete ABE techniques are practical when applied to small data sets to generate cryptograms with restricted computational properties; their properties are used to generate the key, encrypt it, and decrypt it. To address the current concerns, a dynamic non-linear polynomial chaotic quantum hash technique on top of secure block chain model can be used for enhancing cloud data security while maintaining user privacy. In the proposed method, customer attributes are guaranteed by using a dynamic non- polynomial chaotic map function for the key initialization, encryption, and decryption. In the proposed model, both organized and unorganized massive clinical data are considered to be inputs for reliable corroboration and encoding. Compared to existing models, the real-time simulation results demonstrate that the stated standard is more precise than 90% in terms of bit change and more precise than 95% in terms of dynamic key generation, encipherment, and decipherment time.
format	article
author	Kranthi Kumar Singamaneni Kadiyala Ramana Gaurav Dhiman Saurabh Singh Byungun Yoon
author_facet	Kranthi Kumar Singamaneni Kadiyala Ramana Gaurav Dhiman Saurabh Singh Byungun Yoon
author_sort	Kranthi Kumar Singamaneni
title	A Novel Blockchain and Bi-Linear Polynomial-Based QCP-ABE Framework for Privacy and Security over the Complex Cloud Data
title_short	A Novel Blockchain and Bi-Linear Polynomial-Based QCP-ABE Framework for Privacy and Security over the Complex Cloud Data
title_full	A Novel Blockchain and Bi-Linear Polynomial-Based QCP-ABE Framework for Privacy and Security over the Complex Cloud Data
title_fullStr	A Novel Blockchain and Bi-Linear Polynomial-Based QCP-ABE Framework for Privacy and Security over the Complex Cloud Data
title_full_unstemmed	A Novel Blockchain and Bi-Linear Polynomial-Based QCP-ABE Framework for Privacy and Security over the Complex Cloud Data
title_sort	novel blockchain and bi-linear polynomial-based qcp-abe framework for privacy and security over the complex cloud data
publisher	MDPI AG
publishDate	2021
url	https://doaj.org/article/6fab9b13975a4892a016c6c1c7b0c897
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A Novel Blockchain and Bi-Linear Polynomial-Based QCP-ABE Framework for Privacy and Security over the Complex Cloud Data

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