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A Secure and Lightweight Fine-Grained Data Sharing Scheme for Mobile Cloud Computing

With the explosion of various mobile devices and the tremendous advancement in cloud computing technology, mobile devices have been seamlessly integrated with the premium powerful cloud computing known as an innovation paradigm named Mobile Cloud Computing (MCC) to facilitate the mobile users in sto...

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Detalles Bibliográficos
Autores principales: Li, Haifeng, Lan, Caihui, Fu, Xingbing, Wang, Caifen, Li, Fagen, Guo, He
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2020
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7506934/
https://www.ncbi.nlm.nih.gov/pubmed/32825602
http://dx.doi.org/10.3390/s20174720
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author Li, Haifeng
Lan, Caihui
Fu, Xingbing
Wang, Caifen
Li, Fagen
Guo, He
author_facet Li, Haifeng
Lan, Caihui
Fu, Xingbing
Wang, Caifen
Li, Fagen
Guo, He
author_sort Li, Haifeng
collection PubMed
description With the explosion of various mobile devices and the tremendous advancement in cloud computing technology, mobile devices have been seamlessly integrated with the premium powerful cloud computing known as an innovation paradigm named Mobile Cloud Computing (MCC) to facilitate the mobile users in storing, computing and sharing their data with others. Meanwhile, Attribute Based Encryption (ABE) has been envisioned as one of the most promising cryptographic primitives for providing secure and flexible fine-grained “one to many” access control, particularly in large scale distributed system with unknown participators. However, most existing ABE schemes are not suitable for MCC because they involve expensive pairing operations which pose a formidable challenge for resource-constrained mobile devices, thus greatly delaying the widespread popularity of MCC. To this end, in this paper, we propose a secure and lightweight fine-grained data sharing scheme (SLFG-DSS) for a mobile cloud computing scenario to outsource the majority of time-consuming operations from the resource-constrained mobile devices to the resource-rich cloud servers. Different from the current schemes, our novel scheme can enjoy the following promising merits simultaneously: (1) Supporting verifiable outsourced decryption, i.e., the mobile user can ensure the validity of the transformed ciphertext returned from the cloud server; (2) resisting decryption key exposure, i.e., our proposed scheme can outsource decryption for intensive computing tasks during the decryption phase without revealing the user’s data or decryption key; (3) achieving a CCA security level; thus, our novel scheme can be applied to the scenarios with higher security level requirement. The concrete security proof and performance analysis illustrate that our novel scheme is proven secure and suitable for the mobile cloud computing environment.
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spelling pubmed-75069342020-09-30 A Secure and Lightweight Fine-Grained Data Sharing Scheme for Mobile Cloud Computing Li, Haifeng Lan, Caihui Fu, Xingbing Wang, Caifen Li, Fagen Guo, He Sensors (Basel) Article With the explosion of various mobile devices and the tremendous advancement in cloud computing technology, mobile devices have been seamlessly integrated with the premium powerful cloud computing known as an innovation paradigm named Mobile Cloud Computing (MCC) to facilitate the mobile users in storing, computing and sharing their data with others. Meanwhile, Attribute Based Encryption (ABE) has been envisioned as one of the most promising cryptographic primitives for providing secure and flexible fine-grained “one to many” access control, particularly in large scale distributed system with unknown participators. However, most existing ABE schemes are not suitable for MCC because they involve expensive pairing operations which pose a formidable challenge for resource-constrained mobile devices, thus greatly delaying the widespread popularity of MCC. To this end, in this paper, we propose a secure and lightweight fine-grained data sharing scheme (SLFG-DSS) for a mobile cloud computing scenario to outsource the majority of time-consuming operations from the resource-constrained mobile devices to the resource-rich cloud servers. Different from the current schemes, our novel scheme can enjoy the following promising merits simultaneously: (1) Supporting verifiable outsourced decryption, i.e., the mobile user can ensure the validity of the transformed ciphertext returned from the cloud server; (2) resisting decryption key exposure, i.e., our proposed scheme can outsource decryption for intensive computing tasks during the decryption phase without revealing the user’s data or decryption key; (3) achieving a CCA security level; thus, our novel scheme can be applied to the scenarios with higher security level requirement. The concrete security proof and performance analysis illustrate that our novel scheme is proven secure and suitable for the mobile cloud computing environment. MDPI 2020-08-21 /pmc/articles/PMC7506934/ /pubmed/32825602 http://dx.doi.org/10.3390/s20174720 Text en © 2020 by the authors. Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (http://creativecommons.org/licenses/by/4.0/).
spellingShingle Article
Li, Haifeng
Lan, Caihui
Fu, Xingbing
Wang, Caifen
Li, Fagen
Guo, He
A Secure and Lightweight Fine-Grained Data Sharing Scheme for Mobile Cloud Computing
title A Secure and Lightweight Fine-Grained Data Sharing Scheme for Mobile Cloud Computing
title_full A Secure and Lightweight Fine-Grained Data Sharing Scheme for Mobile Cloud Computing
title_fullStr A Secure and Lightweight Fine-Grained Data Sharing Scheme for Mobile Cloud Computing
title_full_unstemmed A Secure and Lightweight Fine-Grained Data Sharing Scheme for Mobile Cloud Computing
title_short A Secure and Lightweight Fine-Grained Data Sharing Scheme for Mobile Cloud Computing
title_sort secure and lightweight fine-grained data sharing scheme for mobile cloud computing
topic Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7506934/
https://www.ncbi.nlm.nih.gov/pubmed/32825602
http://dx.doi.org/10.3390/s20174720
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